Abstract: A method for determining a signal quality includes: receiving a signal from a circuit device; generating multiple eye diagrams according to the signal; determining whether each eye diagram is normal according to a basic index to generate a first determination result, wherein the basic index comprises an eye height and an eye width; in response to the first determination result indicating that each diagram is normal, determining whether each eye diagram is normal according to an advanced index to generate a second determination result, wherein the advanced index comprises at least one of a combination of an area and a contour length, a combination of a density and a gradient, and a combination of multiple slopes; and in response to the second determination result indicating that each eye diagram is normal, determining the signal quality of the signal according to each of the multiple eye diagrams.

Abstract: A machine learning-based wafer testing yield boosting method includes acquiring a plurality of actual Wafer Acceptance Test (WAT) measurement parameters at a plurality of locations on a wafer from a foundry and a plurality of WAT sensing parameters monitored by a plurality of sensors disposed within the wafer, and inferring a plurality of predicted WAT parameters for a plurality of dies on the wafer based on the plurality of actual WAT measurement parameters and the plurality of WAT sensing parameters by a machine learning model.

Abstract: A central processing unit (CPU) turbo yield boosting method includes acquiring a plurality of Wafer Acceptance Test (WAT) parameters from a foundry, acquiring a CPU turbo yield from a final test stage, generating a predicted CPU turbo yield for the plurality of WAT parameters using a training model based on the plurality of WAT parameters and the CPU turbo yield, and generating a plurality of importance values corresponding to the plurality of WAT parameters using a WAT importance analysis module based on the predicted CPU turbo yield and the plurality of WAT parameters. The training model and the WAT importance analysis module are integrated into an explainable Artificial Intelligence (AI) framework.

Abstract: A die-level parametric prediction boosting method includes acquiring mass production data of a plurality of dies, identifying a comprehensive indicator of each die according to the mass production data, generating a wafer map distribution of the plurality of dies according to a plurality of comprehensive indicators, partitioning the plurality of dies into at least two die clustering groups, and inputting a plurality of electrical parametric features of each die clustering group to a training model for generating predicted data of each die clustering group.

Abstract: In an aspect of the disclosure, a method for detecting outlier integrated circuits on a wafer is provided. The method comprises: operating multiple test items for each IC on the wafer to generate measured values of the multiple test items for each IC; selecting a target IC and neighboring ICs on the wafer repeatedly. each time after selecting the target IC executes the following steps: selecting a measured value of the target IC as a target measured value and selecting measured values of the target IC and the neighboring ICs as feature values of the target IC and the neighboring ICs; executing a transformer deep learning model to generate a predicted value of the target measured value; and identifying outlier ICs according to the predicted values of all the target ICs and the corresponding target measured values of all the target ICs.

Abstract: An automatic processing device for liquid samples includes a sample region, a control module, an image identification device and a centrifuge. The sample region is configured to accommodate a plurality of centrifuge tubes. The control module includes a mechanical module. The mechanical module is configured to unscrew or tighten upper caps of the centrifuge tubes, and is configured to draw liquid from the centrifuge tubes or discharge liquid to the centrifuge tubes. The image identification device is coupled to the control module. The centrifuge is coupled to the control module. The centrifuge is configured to accommodate the centrifuge tubes and perform centrifugal treatment.

Abstract: An outlier IC detection method includes acquiring first measured data of a first IC set, training the first measured data for establishing a training model, acquiring second measured data of a second IC set, generating predicted data of the second IC set by using the training model according to the second measured data, generating a bivariate dataset distribution of the second IC set according to the predicted data and the second measured data, acquiring a predetermined Mahalanobis distance on the bivariate dataset distribution of the second IC set, and identifying at least one outlier IC from the second IC set when at least one position of the at least one outlier IC on the bivariate dataset distribution is outside a range of the predetermined Mahalanobis distance.

Abstract: A violation checking method includes generating a violation log report for a design, classifying violation logs in the violation log report into high-risk logs and low-risk logs by a machine learning model, reviewing the high-risk logs, and modifying the design if at least one bug is identified in the high-risk logs.

Abstract: An outlier IC detection method includes acquiring first measured data of a first IC set, training the first measured data for establishing a training model, acquiring second measured data of a second IC set, generating predicted data of the second IC set by using the training model according to the second measured data, generating a bivariate dataset distribution of the second IC set according to the predicted data and the second measured data, acquiring a predetermined Mahalanobis distance on the bivariate dataset distribution of the second IC set, and identifying at least one outlier IC from the second IC set when at least one position of the at least one outlier IC on the bivariate dataset distribution is outside a range of the predetermined Mahalanobis distance.

Abstract: A die-level electrical parameter extraction method includes: obtaining electrical parameters of a plurality of transistor types; obtaining measurement results of a plurality of logic blocks; estimating a mapping relationship between the electrical parameters of the plurality of transistor types and the measurement results of the plurality of logic blocks; and regarding a specific die of a wafer, obtaining die-level measurement of the plurality of logic blocks, and generating die-level electrical parameters of the plurality of transistor types according to the mapping relationship and the die-level measurement results.

Abstract: An automatic processing device for liquid samples includes a sample region, a control module, an image identification device and a centrifuge. The sample region is configured to accommodate a plurality of centrifuge tubes. The control module includes a mechanical module. The mechanical module is configured to unscrew or tighten upper caps of the centrifuge tubes, and is configured to draw liquid from the centrifuge tubes or discharge liquid to the centrifuge tubes. The image identification device is coupled to the control module. The centrifuge is coupled to the control module. The centrifuge is configured to accommodate the centrifuge tubes and perform centrifugal treatment.

Abstract: The present invention provides RUT analogs with various biological activities. In particular, the biological activities comprise anti-inflammatory activity, vasodilator effects, migration/invasion-suppressive activities, ability against damage due to remodeling between the epithelium and endothelium, collagen deposition and cardiac fibrosis suppress, Snail protein inhibitory effect, etc., which may improve cardiac, vasodilation, and lung functions. The RUT analogs disclosed herein also exhibit a lower cytotoxicity comparing to RUT.

Abstract: The invention provides a method for improving temperature management of a battery pack. The battery pack may comprise a battery cell charged via at least one supply trace of a PCB (printed circuit board), a protection circuit module mounted on the PCB and coupled to the at least one supply trace, and a plurality of temperature sensors respectively reflecting a temperature of the battery cell and a temperature of the PCB. The method may comprise: measuring a cell temperature and a PCB temperature by the temperature sensors; when charging the battery cell by a charging current and a charging voltage, controlling the charging voltage and the charging current according to the cell temperature, and adjusting the charging current further according to the PCB temperature, so as to constrain the temperature of the PCB.

Abstract: A charging method, a charging system and an electronic device are provided. The charging method includes the following steps: An inputting current limit is set. An inputting current of at least one charger is measured. A power source voltage of a power source is adjusted until a current difference between the inputting current and the inputting current limit is within a predetermined range.

Abstract: An electronic device includes: a connector, arranged for coupling to a power supply external to the electronic device, wherein the power supply is arranged to provide a supply voltage to the electronic device to charge a battery of the electronic device; and a charger, coupled to the connector and selectively operated in a normal mode or a self-test mode, wherein when the charger operates in the normal mode, the charger is arranged for receiving the supply voltage via a power pin of the connector to charge the battery of the electronic device; and when the charger operates in the self-test mode, the charger provides a specific voltage to the power pin of the connector. The charger includes a detector to detect the current or voltage of at least one pin of the connector to generate a detecting result, and the supply voltage is set based on the detecting result.

Abstract: The present invention provides RUT analogs with various biological activities. In particular, the biological activities comprise anti-inflammatory activity, vasodilator effects, migration/invasion-suppressive activities, ability against damage due to remodeling between the epithelium and endothelium, collagen deposition and cardiac fibrosis suppress, Snail protein inhibitory effect, etc., which may improve cardiac, vasodilation, and lung functions. The RUT analogs disclosed herein also exhibit a lower cytotoxicity comparing to RUT.

Abstract: According to at least one aspect, a device is provided. The device comprises: a connector configured to electrically couple to an external device and comprising a plurality of terminals including a supply terminal; a monitoring circuit coupled to the supply terminal and configured to apply an electrical signal to the supply terminal and measure at least one of a voltage level and a current level on the supply terminal; a controller communicatively coupled to the monitoring circuit and configured to: determine whether an impedance between the supply terminal and at least one other terminal in the plurality of terminals is above a threshold using the at least one of the voltage level and the current level on the supply terminal; and output at least one message responsive to the impedance being below the threshold.

Abstract: The present invention provides RUT analogs with various biological activities. In particular, the biological activities comprise anti-inflammatory activity, vasodilator effects, migration/invasion-suppressive activities, ability against damage due to remodeling between the epithelium and endothelium, collagen deposition and cardiac fibrosis suppress, Snail protein inhibitory effect, etc., which may improve cardiac, vasodilation, and lung functions. The RUT analogs disclosed herein also exhibit a lower cytotoxicity comparing to RUT.

Abstract: The present invention provides RUT analogs with various biological activities. In particular, the biological activities comprise anti-inflammatory activity, vasodilator effects, migration/invasion-suppressive activities, ability against damage due to remodeling between the epithelium and endothelium, collagen deposition and cardiac fibrosis suppress. Snail protein inhibitory effect, etc., which may improve cardiac, vasodilation, and lung functions. The RUT analogs disclosed herein also exhibit a lower cytotoxicity comparing to RUT.

Abstract: A gas turbine combustor assembly includes a fuel injector, a dome stator around the fuel injector, and a dome sleeve coupled to the dome stator. The dome sleeve defines an air inlet opening with the dome stator, and is carried to move with respect to the dome stator to change a flow area of the air inlet opening. The dome sleeve also defines a nozzle sloping downstream from the air inlet opening toward an outlet of the combustor assembly. The sloping nozzle defines an annular pinch gap adjacent an outlet of the fuel injector, and is coupled to move with the dome sleeve to change a flow area through the pinch gap.