Abstract: The present invention relates to a composition for preventing or treating transplantation rejection or a transplantation rejection disease, comprising a novel compound and a calcineurin inhibitor. A co-administration of the present invention 1) reduces the activity of pathogenic Th1 cells or Th17 cells, 2) increases the activity of Treg cells, 3) has an inhibitory effect against side effects, such as tissue damage, occurring in the sole administration thereof, 4) inhibits various pathogenic pathways, 5) inhibits the cell death of inflammatory cells, and 6) increases the activity of mitochondria, in an in vivo or in vitro allogenic model, a transplantation rejection disease model, a skin transplantation model, and a liver-transplanted patient, and thus inhibits transplantation rejection along with mitigating side effects possibly occurring in the administration of a conventional immunosuppressant alone.

Abstract: In one example, a semiconductor device can comprise a substrate, a device stack, first and second internal interconnects, and an encapsulant. The substrate can comprise a first and second substrate sides opposite each other, a substrate outer sidewall between the first substrate side and the second substrate side, and a substrate inner sidewall defining a cavity between the first substrate side and the second substrate side. The device stack can be in the cavity and can comprise a first electronic device, and a second electronic device stacked on the first electronic device. The first internal interconnect can be coupled to the substrate and the device stack. The encapsulant can cover the substrate inner sidewall and the device stack and can fill the cavity. Other examples and related methods are disclosed herein.

Abstract: Various embodiments of the disclosed technology present a structural foundation for volumetric flow reconstructions for expiratory modeling enabled through multi-modal imaging for pulmonology. In some embodiments, this integrated multi-modal system includes infrared (IR) imaging, thermal imaging of carbon dioxide (CO2), depth imaging (D), and visible spectrum imaging. These multiple image modalities can be integrated into flow models of exhale behaviors enable the creation of three-dimensional volume reconstructions based on visualized CO2 distributions over time, formulating a four-dimensional exhale model which can be used to estimate various pulmonological traits (e.g., breathing rate, flow rate, exhale velocity, nose/mouth distribution, tidal volume estimation, and CO2 density distributions).

Abstract: Systems and methods are described for mobile and augmented reality-based depth and thermal fusion scan imaging. Some embodiments of the present technology use sophisticated techniques to fuse information from both thermal and depth imaging channels together to achieve synergistic effects for object recognition and personal identification. Hence, the techniques used in various embodiments provide a much better solution for, say, first responders, disaster relief agents, search and rescue, and law enforcement officials to gather more detailed forensic data. Some embodiments provide a series of unique features including small size, wearable devices, and ability to feed fused depth and thermal streams into AR glasses. In addition, some embodiments use a two-layer architecture for performing device local fusion and cloud-based platform for integration of data from multiple devices and cross-scene analysis and reconstruction.

Abstract: Systems and methods are described for mobile and augmented reality-based depth and thermal fusion scan imaging Some embodiments of the present technology use sophisticated techniques to fuse information from both thermal and depth imaging channels together to achieve synergistic effects for object recognition and personal identification. Hence, the techniques used in various embodiments provide a much better solution for, say, first responders, disaster relief agents, search and rescue, and law enforcement officials to gather more detailed forensic data. Some embodiments provide a series of unique features including small size, wearable devices, and ability to feed fused depth and thermal streams into AR glasses. In addition, some embodiments use a two-layer architecture for performing device local fusion and cloud-based platform for integration of data from multiple devices and cross-scene analysis and reconstruction.

Abstract: An imaging system is provided. The imaging system includes a 3D image capture device, which is configured to capture a depth image of an object, and a thermal image capture device, which is configured to capture a thermal image of the object. The imaging system also includes a processing system, which is coupled with the 3D image capture device and the thermal image capture device. The processing system is configured to process the depth image and the thermal image to produce a thermal-depth fusion image by aligning the thermal image with the depth image, and assigning a thermal value derived from the thermal image to a plurality of points of the depth image.

Abstract: Various embodiments of the present technology present a structural foundation for respiratory analysis of turbulent exhale flows through a technique called Thin Medium Thermal Imaging (TMTI). TMTI is a respiration monitoring method that uses a thin medium and thermal imaging to sense breathing activity. This technique is presented as an alternative to existing non-contact methods of respiratory analysis. As with all non-contact methods, remote monitoring of patients' respiratory behaviors preserves patient comfort. However, unlike other respiratory monitoring methods, the TMTI method monitors respiration directly, and can therefore provide more respiratory information than other non-contact methods. Various embodiments may make use of different medium materials, different measurement setups, additional thermal imaging cameras and sensors, and setups with entertainment media such as Virtual Reality (VR).

Abstract: Various embodiments of the disclosed technology present a structural foundation for volumetric flow reconstructions for expiratory modeling enabled through multi-modal imaging for pulmonology. In some embodiments, this integrated multi-modal system includes infrared (IR) imaging, thermal imaging of carbon dioxide (CO2), depth imaging (D), and visible spectrum imaging. These multiple image modalities can be integrated into flow models of exhale behaviors enable the creation of three-dimensional volume reconstructions based on visualized CO2 distributions over time, formulating a four-dimensional exhale model which can be used to estimate various pulmonological traits (e.g., breathing rate, flow rate, exhale velocity, nose/mouth distribution, tidal volume estimation, and CO2 density distributions).

Abstract: An imaging system is provided. The imaging system includes a 3D image capture device, which is configured to capture a depth image of an object, and a thermal image capture device, which is configured to capture a thermal image of the object. The imaging system also includes a processing system, which is coupled with the 3D image capture device and the thermal image capture device. The processing system is configured to process the depth image and the thermal image to produce a thermal-depth fusion image by aligning the thermal image with the depth image, and assigning a thermal value derived from the thermal image to a plurality of points of the depth image.