Abstract: The present disclosure is directed to methods and compositions for the prediction and treatment of immunotherapy-induced toxicities, as well as improved methods for the treatment of cancer with immunotherapies.

Abstract: The present disclosure is directed to methods and compositions for the prediction and treatment of immunotherapy-induced toxicities, as well as improved methods for the treatment of cancer with immunotherapies.

Abstract: The present disclosure is directed to methods and compositions for the prediction and treatment of immunotherapy-induced toxicities, as well as improved methods for the treatment of cancer with immunotherapies.

Abstract: The present disclosure is directed to methods and compositions for the prediction and treatment of immunotherapy-induced toxicities, as well as improved methods for the treatment of cancer with immunotherapies.

Abstract: Systems and methods for computer-implemented evaluation of a performance are provided. In a first aspect, a computer-implemented method of evaluating an interaction generates a first temporal record of first behavior features exhibited by a first entity during an interaction between a first entity and a second entity. A second temporal record is generated including second behavior features exhibited by a second entity during an interaction with a first entity. A determination is made that a first feature of a first temporal record is associated with a second feature of a second temporal record. The length of time that passes between the first feature and second feature is evaluated, and a determination is made that the length of time satisfies a temporal condition. A co-occurrence record associated with a first feature and a second feature is generated and included in a co-occurrence record data-structure.

Abstract: The present disclosure is directed to methods and compositions for the prediction and treatment of immunotherapy—induced toxicities, as well as improved methods for the treatment of cancer with immunotherapies.

Abstract: The present disclosure is directed to methods and compositions for the prediction and treatment of immunotherapy-induced toxicities, as well as improved methods for the treatment of cancer with immunotherapies.

Abstract: Example systems and methods are disclosed for generating facial expressions in an avatar-based user interface for a computing device. An example system may include a digital camera, a display device and a user interface application. The digital camera may be configured to capture image data of a user over time. The user interface application may be stored on a non-transitory computer-readable medium and executable by a processor, and may include: an expression feature extractor configured to process the image data of the user to generate a plurality of facial expression descriptor vectors, a sketch generation module configured to use a first conditional deep convolutional generative adversarial network (DC-GAN) model to generate an expressive facial sketch image of an avatar based on the plurality of facial expression descriptor vectors, and an image generation module configured to use a second conditional DC-GAN model to generate a facial expression image from the expressive facial sketch image.

Abstract: A system and method for conducting a transaction is provided. The method comprises receiving, at a courier module, a delivery order relating to a delivery of a product to a recipient by a courier service; and generating, by the courier module, a card-on-file mobile payment instruction for transmission to a payment module to complete the transaction based on: (i) a delivery status corresponding to an outcome of the delivery of the product to the recipient; and (ii) a payment status corresponding to an outcome of a cash payment for the product by the recipient to the courier service.

Abstract: An apparatus including a first hollow tube having an inner chamber and an outer peripheral surface, a cable having outer insulation and an inner conductor wire, and a hand held device for blowing hot air. The first hollow tube may have an inner diameter which is greater than an outer diameter of the cable so that the first hollow tube can be slid over the cable, so that a portion of the cable resides in the inner chamber of the first hollow tube in a first state. The cable may have a length which is substantially greater than a length of the first hollow tube. The hand held device for blowing hot air may be configured to blow hot air on the outer peripheral surface of the first tube, in the first state, to cause the first tube to shrink and become attached to the cable to repair a defect in the cable.

Abstract: Technologies for analyzing temporal components of multimodal data to detect short-term multimodal events, determine relationships between short-term multimodal events, and recognize long-term multimodal events, using a deep learning architecture, are disclosed.

Abstract: A multi-modal interaction modeling system can model a number of different aspects of a human interaction across one or more temporal interaction sequences. Some versions of the system can generate assessments of the nature or quality of the interaction or portions thereof, which can be used to, among other things, provide assistance to one or more of the participants in the interaction.

Abstract: Technologies for analyzing temporal components of multimodal data to detect short-term multimodal events, determine relationships between short-term multimodal events, and recognize long-term multimodal events, using a deep learning architecture, are disclosed.

Abstract: A multi-modal interaction modeling system can model a number of different aspects of a human interaction across one or more temporal interaction sequences. Some versions of the system can generate assessments of the nature or quality of the interaction or portions thereof, which can be used to, among other things, provide assistance to one or more of the participants in the interaction.

Abstract: A computer implemented method for automatically detecting and classifying acoustic signatures across a set of recording conditions is disclosed. A first acoustic signature is received. The first acoustic signature is projected into a space of a minimal set of exemplars of acoustic signature types derived from a larger set of exemplars using a wrapper method. At least one vector distance is calculated between the projected acoustic signature and each exemplar of the minimal set of exemplars. An exemplar is selected from the minimal set of exemplars having the smallest vector distance to the projected acoustic signature as a class corresponding to and classifying the first acoustic signature. The first acoustic signature and the plurality of acoustic signatures may correspond to one of gunshots, musical instruments, songs, and speech. The minimal set of exemplars may correspond to a hierarchy of acoustic signature types.

Abstract: A computer implemented method for automatically detecting and classifying acoustic signatures across a set of recording conditions is disclosed. A first acoustic signature is received. The first acoustic signature is projected into a space of a minimal set of exemplars of acoustic signature types derived from a larger set of exemplars using a wrapper method. At least one vector distance is calculated between the projected acoustic signature and each exemplar of the minimal set of exemplars. An exemplar is selected from the minimal set of exemplars having the smallest vector distance to the projected acoustic signature as a class corresponding to and classifying the first acoustic signature. The first acoustic signature and the plurality of acoustic signatures may correspond to one of gunshots, musical instruments, songs, and speech. The minimal set of exemplars may correspond to a hierarchy of acoustic signature types.