Abstract: Various apparatuses, systems, methods, and media are disclosed for heat-assisted magnetic recording (HAMR) that includes a HAMR medium with a seed-thermal barrier structure. The seed-thermal barrier structure is positioned between a heat sink layer and a magnetic recording layer. In some examples, the seed-thermal barrier structure has a first layer including MgOTiO (MTO), a second layer including TiN on the first layer, a third layer on the second layer, and a fourth layer including MTO on the third layer. The third layer, in some examples, includes at least one of: RuAl, Pt, PtZr, PtTa, Rh, FePt, CrMo, or Cr.

Abstract: A system is described for generating a revascularization score for a blockage of a coronary artery in a heart. The system accesses indications of viability of myocardial tissue in the heart, a blockage state of the blockage that includes a blockage location and a blockage amount, and the perfusion territory of the myocardial tissue. Based on the myocardial tissue state, blockage state, and perfusion territory, the system generates a revascularization score for the blockage. The system generates a graphic of the heart that illustrates coronary arteries, myocardial tissue state, blockage state, and the revascularization score. The system displays the graphic to provide a visual representation of the revascularization score for the blockage of the coronary artery.

Abstract: A system is described for generating a revascularization score for a blockage of a coronary artery in a heart. The system accesses indications of viability of myocardial tissue in the heart, a blockage state of the blockage that includes a blockage location and a blockage amount, and the perfusion territory of the myocardial tissue. Based on the myocardial tissue state, blockage state, and perfusion territory, the system generates a revascularization score for the blockage. The system generates a graphic of the heart that illustrates coronary arteries, myocardial tissue state, blockage state, and the revascularization score. The system displays the graphic to provide a visual representation of the revascularization score for the blockage of the coronary artery.

Abstract: Disclosed is a material comprising a soy protein isolate (SPI), an additive and a cellulose, wherein the material is capable of curing through heat or at room temperature to form a solid object. The components of the material are non-cytotoxic, sustainable, and generally regarded as safe (GRAS), and can be used for precise syringe extrusion, after which the resulting product may be solidified using heat. The applications of this material include a potential replacement for the petroleum-based thermoplastics used in extrusion-based 3D printing, and the creation of biodegradable implants and/or drug delivery systems.

Abstract: This disclosure includes several different features suitable for use in circumaural and supra-aural headphones designs. Designs that reduce the size of headphones and allow for small form-factor storage configurations are discussed. User convenience features that include synchronizing earpiece stem positions and automatically detecting the orientation of the headphones on a user's head are also discussed. Various power-saving features, design features, sensor configurations and user comfort features are also discussed.

Abstract: The present invention relates to STAT3 degraders, their liquid formulations, and methods of use thereof for treating cancer.

Abstract: A process for preparing C2 to C4 hydrocarbons includes introducing a feed stream including hydrogen gas and a carbon-containing gas selected from the group consisting of carbon monoxide, carbon dioxide, and mixtures thereof into a reaction zone of a reactor, and converting the feed stream into a product stream including C2 to C4 hydrocarbons in the reaction zone in the presence of a formed hybrid catalyst. The formed hybrid catalyst includes a metal oxide catalyst component including gallium oxide and zirconia, a microporous catalyst component that is a molecular sieve having 8-MR (Membered Ring) pore openings, and a binder including alumina, zirconia, or both.

Abstract: A process for preparing C2 to C4 hydrocarbons includes introducing a feed stream including hydrogen gas and a carbon-containing gas selected from the group consisting of carbon monoxide, carbon dioxide, and mixtures thereof into a reaction zone of a reactor, and converting the feed stream into a product stream including C2 to C4 hydrocarbons in the reaction zone in the presence of a formed hybrid catalyst. The formed hybrid catalyst includes a metal oxide catalyst component including gallium oxide and zirconia, a microporous catalyst component that is a molecular sieve having 8-MR (Membered Ring) pore openings, and a binder including alumina, zirconia, or both.

Abstract: The present invention relates to IRAKIMiD degraders, their liquid formulations, and methods of use thereof for treating cancer.

Abstract: In an example method, a request for a dynamic access link is received from a first device. The request includes data identifying a first network resource. A subject associated with the first network resource is identified, and one or more additional network resources pertaining to the subject are determined. The dynamic access link is determined, and the dynamic access link is provided to the first device. A network resource access request is received from a second device. The network resource access request is generated responsive to the dynamic access link being selected. Responsive to receiving the network resource access request, at least one of the first resource or the one or more additional network resources is chosen, and a network address of the chosen resource is provided to the second device.

Abstract: Efficient and scalable three-dimensional point cloud segmentation. In an embodiment, a three-dimensional point cloud is segmented by adding points to a spatial hash. For each unseen point, a cluster is generated, the unseen point is added to the cluster and marked as seen, and, for each point that is added to the cluster, the point is set as a reference, a reference threshold metric is computed, all unseen neighbors are identified based on the reference threshold metric, and, for each identified unseen neighbor, the unseen neighbor is marked as seen, a neighbor threshold metric is computed, and the neighbor is added or not added to the cluster based on the neighbor threshold metric. When the cluster reaches a threshold size, it may be added to a cluster list. Objects may be identified based on the cluster list and used to control autonomous system(s).

Abstract: Efficient and scalable three-dimensional point cloud segmentation. In an embodiment, a three-dimensional point cloud is segmented by adding points to a spatial hash. For each unseen point, a cluster is generated, the unseen point is added to the cluster and marked as seen, and, for each point that is added to the cluster, the point is set as a reference, a reference threshold metric is computed, all unseen neighbors are identified based on the reference threshold metric, and, for each identified unseen neighbor, the unseen neighbor is marked as seen, a neighbor threshold metric is computed, and the neighbor is added or not added to the cluster based on the neighbor threshold metric. When the cluster reaches a threshold size, it may be added to a cluster list. Objects may be identified based on the cluster list and used to control autonomous system(s).

Abstract: Efficient and scalable three-dimensional point cloud segmentation. In an embodiment, a three-dimensional point cloud is segmented by adding points to a spatial hash. For each unseen point, a cluster is generated, the unseen point is added to the cluster and marked as seen, and, for each point that is added to the cluster, the point is set as a reference, a reference threshold metric is computed, all unseen neighbors are identified based on the reference threshold metric, and, for each identified unseen neighbor, the unseen neighbor is marked as seen, a neighbor threshold metric is computed, and the neighbor is added or not added to the cluster based on the neighbor threshold metric. When the cluster reaches a threshold size, it may be added to a cluster list. Objects may be identified based on the cluster list and used to control autonomous system(s).

Abstract: Efficient and scalable three-dimensional point cloud segmentation. In an embodiment, a three-dimensional point cloud is segmented by adding points to a spatial hash. For each unseen point, a cluster is generated, the unseen point is added to the cluster and marked as seen, and, for each point that is added to the cluster, the point is set as a reference, a reference threshold metric is computed, all unseen neighbors are identified based on the reference threshold metric, and, for each identified unseen neighbor, the unseen neighbor is marked as seen, a neighbor threshold metric is computed, and the neighbor is added or not added to the cluster based on the neighbor threshold metric. When the cluster reaches a threshold size, it may be added to a cluster list. Objects may be identified based on the cluster list and used to control autonomous system(s).

Abstract: Efficient and scalable three-dimensional point cloud segmentation. In an embodiment, a three-dimensional point cloud is segmented by adding points to a spatial hash. For each unseen point, a cluster is generated, the unseen point is added to the cluster and marked as seen, and, for each point that is added to the cluster, the point is set as a reference, a reference threshold metric is computed, all unseen neighbors are identified based on the reference threshold metric, and, for each identified unseen neighbor, the unseen neighbor is marked as seen, a neighbor threshold metric is computed, and the neighbor is added or not added to the cluster based on the neighbor threshold metric. When the cluster reaches a threshold size, it may be added to a cluster list. Objects may be identified based on the cluster list and used to control autonomous system(s).

Abstract: In an example method, a request for a dynamic access link is received from a first device. The request includes data identifying a first network resource. A subject associated with the first network resource is identified, and one or more additional network resources pertaining to the subject are determined. The dynamic access link is determined, and the dynamic access link is provided to the first device. A network resource access request is received from a second device. The network resource access request is generated responsive to the dynamic access link being selected. Responsive to receiving the network resource access request, at least one of the first resource or the one or more additional network resources is chosen, and a network address of the chosen resource is provided to the second device.

Abstract: In an example method, a request for a dynamic access link is received from a first device. The request includes data identifying a first network resource. A subject associated with the first network resource is identified, and one or more additional network resources pertaining to the subject are determined. The dynamic access link is determined, and the dynamic access link is provided to the first device. A network resource access request is received from a second device. The network resource access request is generated responsive to the dynamic access link being selected. Responsive to receiving the network resource access request, at least one of the first resource or the one or more additional network resources is chosen, and a network address of the chosen resource is provided to the second device.

Abstract: Systems, methods, and devices are disclosed for rendering computer graphics. In various embodiments, a displacement map is created for a plurality of surfaces and a tessellation process is initiated. It is determined that the tessellation density of a first set of surfaces and a second set of surfaces should be modified based on the displacement map. Based on the displacement map, a tessellation factor scale for each surface of the first set of surfaces is increased and a tessellation factor scale for each surface of the second set of surfaces is decreased, respectively.

Abstract: Efficient and scalable three-dimensional point cloud segmentation. In an embodiment, a three-dimensional point cloud is segmented by adding points to a spatial hash. For each unseen point, a cluster is generated, the unseen point is added to the cluster and marked as seen, and, for each point that is added to the cluster, the point is set as a reference, a reference threshold metric is computed, all unseen neighbors are identified based on the reference threshold metric, and, for each identified unseen neighbor, the unseen neighbor is marked as seen, a neighbor threshold metric is computed, and the neighbor is added or not added to the cluster based on the neighbor threshold metric. When the cluster reaches a threshold size, it may be added to a cluster list. Objects may be identified based on the cluster list and used to control autonomous system(s).

Abstract: A system has a central processing unit (CPU) and a graphics processing unit (GPU) that includes one or more registers. The GPU can change a resource descriptor in one of the GPU's registers. It is emphasized that this abstract is provided to comply with the rules requiring an abstract that will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.