Abstract: An approach is presented herein to use an in-situ algorithmic decision methodology during each stage of testing before 2C/4C to decide how long to test, how much margin should be used for each device under the test (DUT) to shorten or eliminate 2C/4C testing. Each DUT will be tested differently based on the risk level or the likelihood of failure at 2C/4C. To be able to achieve this, low-level hardware (HW) based sensors (on the printed circuit board assembly (PCBA), in power module, in silicon components, in silicon component complex, etc.) are used to collect telemetry data with a high frequency data acquisition rate during the testing. As testing is ongoing for each DUT, a margin distribution and algorithm modeling is performed in-situ.

Abstract: A hot water supply apparatus includes a housing, a water tank, a master device, a pipeline, a first temperature sensor, an electric heater, and a controller. The pipeline includes a first coil. The first temperature sensor has a first height. The electric heater has a second height. The controller is configured to: determine a heating time of the electric heater or the first coil; calculate a preset temperature according to the heating time, the first height, and the second height; calculate a changing water temperature according to a water temperature in the water tank detected by the first temperature sensor and the heating time; and adjust an operating state of a heat pump or determine an operating state of the electric heater according to the changing water temperature and the preset temperature.

Abstract: Techniques are described for detecting counterfeit products by identifying differences between hardware components and orientations of the counterfeit products, and hardware components and orientations of authentic products. In some examples, the hardware components and orientations can be identified by generating hardware intrinsic development data based on telemetry data of products (or “devices”). By way of example, the telemetry data may be analyzed by machine learning (ML) models to generate representative models of the hardware intrinsic development data. In various examples, the representative models can include sample representative models of hardware intrinsic development data generated based on valid telemetry data of authentic devices. In those or other examples, the representative models can include other representative models (or “test representative models”) of hardware intrinsic development data generated based on unvalidated telemetry data of test devices.

Abstract: A method for jointly estimating soil profile salinity by using time-series remote sensing image is provided. The method includes following. First, soil profile sample (1 meter), EM38-MK2 soil conductivity data, and a long time series monthly average Sentinel-2 satellite remote sensing image data for describing the same object is obtained. Secondly, the salt content of the soil profile with a depth of 1 meter is obtained according to linear regression equation and profile salt content calculation formula. Then, indices based on the time-series monthly average Sentinel-2 images are obtained to serve as independent variables of modeling by using a random forest to screen the independent variables. Finally, the salt contents of soil profile at 1 meter of the sample points are used as dependent variables, a temporal convolution network regression model is used for estimating, and a distribution map of the salt contents of the soil profile of large-space-scale is obtained.

Abstract: A multi-layer substrate stacking a plurality of insulating substrates supports one or more devices. Each substrate includes a face supporting conductive traces and edges surrounding the face at a substantially perpendicular angle. The multi-layer substrate includes a ground plane on a first substrate and a power plane on a second substrate. The ground plane is connected to at least one ground pad disposed on a first edge of the first substrate, which provides a low inductance ground path to the ground plane. The power plane is connected to at least one power pad disposed on a second edge of the second substrate, which provides a low inductance power path to the power plane.

Abstract: A method, computer system, and computer program product are provided for stress-testing electronics using telemetry modeling. Telemetry data is received from one or more devices under test during a hardware testing phase, the telemetry data including one or more telemetry parameters. The telemetry data is processed using a predictive model to determine future values for the one or more telemetry parameters. Additional hardware testing is performed, wherein the additional hardware testing includes adjusting one or more testing components based on the determined future values.

Abstract: A laparoscopic image smoke removal method based on a generative adversarial network, and belongs to the technical field of computer vision. The method includes: processing a laparoscopic image sample to be processed using a smoke mask segmentation network to acquire a smoke mask image; inputting the laparoscopic image sample to be processed and the smoke mask image into a smoke removal network, and extracting features of the laparoscopic image sample to be processed using a multi-level smoke feature extractor to acquire a light smoke feature vector and a heavy smoke feature vector; and acquiring, according to the light smoke feature vector, the heavy smoke feature vector and the smoke mask image, a smoke-free laparoscopic image by filtering out smoke information and maintaining a laparoscopic image by using a mask shielding effect. The method has the technical effects of robustness and ability of being embedded into a laparoscopic device for use.

Abstract: A method, computer system, and computer program product are provided for stress-testing electronics using telemetry modeling. Telemetry data is received from one or more devices under test during a hardware testing phase, the telemetry data including one or more telemetry parameters. The telemetry data is processed using a predictive model to determine future values for the one or more telemetry parameters. Additional hardware testing is performed, wherein the additional hardware testing includes adjusting one or more testing components based on the determined future values.

Abstract: The present application provides anti-CD137 constructs that bind to CD137 (e.g., anti-CD137 monoclonal antibodies and multispecific antibodies), nucleic acid molecules encoding an amino acid sequence of the anti-CD137 constructs, vectors comprising the nucleic acid molecules, host cells containing the vectors, methods of preparing the anti-CD137 constructs, pharmaceutical compositions containing the anti-CD137 constructs, and methods of using the anti-CD137 constructs or compositions.

Abstract: A laparoscopic image smoke removal method based on a generative adversarial network, and belongs to the technical field of computer vision. The method includes: processing a laparoscopic image sample to be processed using a smoke mask segmentation network to acquire a smoke mask image; inputting the laparoscopic image sample to be processed and the smoke mask image into a smoke removal network, and extracting features of the laparoscopic image sample to be processed using a multi-level smoke feature extractor to acquire a light smoke feature vector and a heavy smoke feature vector; and acquiring, according to the light smoke feature vector, the heavy smoke feature vector and the smoke mask image, a smoke-free laparoscopic image by filtering out smoke information and maintaining a laparoscopic image by using a mask shielding effect. The method has the technical effects of robustness and ability of being embedded into a laparoscopic device for use.

Abstract: A method and system for segmenting three-dimensional images of pancreases and tumors, including: acquiring 3D images of the pancreas and the tumor and preprocessing same with a soft tissue window to control the intensity value of the image within a set range; cropping all images into block-shaped regions of a set size and feeding same into a trained convolutional neural network model, and when training a network, dynamically adjusting the learning weight between the pancreas and the tumor under the guidance of temperature to learn the features of the pancreas and the tumor; and after performing data preprocessing on the 3D images of the pancreas and labels, using the trained network model for online testing and evaluating, and outputting the segmentation result.

Abstract: The present invention relates to anti-TIGIT antibodies that bind to “T cell immunoreceptor with Ig and ITIM domains (TIGIT)”, including multispecific anti-TIGIT antibodies with binding specificity for TIGIT and one or more additional antigen, and methods of using the same. In certain embodiments, the anti-TIGIT antibodies comprises a single domain antibody that binds to TIGIT.

Abstract: An apparatus is provided that includes a thin-film interconnect structure that comprises one or more polymeric layers and conductive plating, a first surface of the thin-film interconnect structure being configured to receive one or more dies, and a second surface of the thin-film interconnect structure being configured to receive a substrate. A method of assembling the apparatus into an integrated circuit assembly is also provided.

Abstract: An approach is presented herein to use an in-situ algorithmic decision methodology during each stage of testing before 2C/4C to decide how long to test, how much margin should be used for each device under the test (DUT) to shorten or eliminate 2C/4C testing. Each DUT will be tested differently based on the risk level or the likelihood of failure at 2C/4C. To be able to achieve this, low-level hardware (HW) based sensors (on the printed circuit board assembly (PCBA), in power module, in silicon components, in silicon component complex, etc.) are used to collect telemetry data with a high frequency data acquisition rate during the testing. As testing is ongoing for each DUT, a margin distribution and algorithm modeling is performed in-situ.

Abstract: A multi-layer substrate stacking a plurality of insulating substrates supports one or more devices. Each substrate includes a face supporting conductive traces and edges surrounding the face at a substantially perpendicular angle. The multi-layer substrate includes a ground plane on a first substrate and a power plane on a second substrate. The ground plane is connected to at least one ground pad disposed on a first edge of the first substrate, which provides a low inductance ground path to the ground plane. The power plane is connected to at least one power pad disposed on a second edge of the second substrate, which provides a low inductance power path to the power plane.

Abstract: The present invention provides anti-CD137 constructs that bind to CD137, including multispecific anti-CD137 antibodies with binding specificity for CD137 and one or more additional antigen, and methods of using the same. In certain embodiments, the one or more additional antigen comprises epidermal growth factor receptor (EGFR).

Abstract: Provided are anti-TIGIT antibodies that bind to “T cell immunoreceptor with Ig and ITIM domains (TIGIT)”, including multispecific anti-TIGIT antibodies with binding specificity for TIGIT and one or more additional antigen, and methods of using the same. The anti-TIGIT antibodies comprises a single domain antibody that binds to TIGIT. The one or more additional antigen comprises Programmed death protein 1 (PD1).

Abstract: Provided are anti-TIGIT antibodies that bind to “T cell immunoreceptor with Ig and ITIM domains (TIGIT)”, including multispecific anti-TIGIT antibodies with binding specificity for TIGIT and one or more additional antigen, and methods of using the same. In certain embodiments, the anti-TIGIT antibodies comprises a single domain antibody that binds to TIGIT. In certain embodiments, the one or more additional antigen comprises Programmed cell death ligand 1 (PDL1).

Abstract: Provided are anti-CD137 constructs that bind to CD137, including multispecific anti-CD137 antibodies with binding specificity for CD137 and one or more additional antigens, and methods of using the same. In certain embodiments, the one or more additional antigens comprise human epidermal growth factor receptor 2 (HER2).

Abstract: Irridium complexes with molecular formula of L3Ir, together with application thereof and organic electroluminescent devices, wherein Ir is the central metal atom and L is a ligand. The structure of these complexes is of the following formula (I): Ar is selected from substituted or unsubstituted aryl groups with 6 to 30 carbon atoms, and substituted or unsubstituted heterocyclic aryl groups with 4 to 30 carbon atoms. R1 to R7 are each independently selected from atoms or groups described herein. The substituent group on above-mentioned Ar or R1 to R7 is independently selected from F, Cl, Br, I, CHO, CN, substituted or unsubstituted alkyl or cycloalkyl groups with 1 to 30 carbon atoms, fluoroalkyl groups, alkoxy groups, and thioalkoxy groups.