Abstract: A data processing apparatus may perform the following operations: acquiring first field of view information and a first line-of-sight point of a first virtual object; acquiring a plurality of second line-of-sight points of a second virtual object; detecting at least one second line-of-sight point based on the first line-of-sight point and the first field of view information to obtain a detection result of the at least one second line-of-sight point, a detection result of each second line-of-sight point characterizing whether each second line-of-sight point is visible from the first line-of-sight point; and determining the second virtual object as a visible virtual object of the first virtual object if the detection result of the at least one second line-of-sight point characterizes that the at least one second line-of-sight point is visible from the first line-of-sight point.

Abstract: Reagents A, B, C are added to an electrolyte bath for co-depositing tin-bismuth alloys (Sn—Bi). Reagent A is a larger acid molecule that binds to Bi3+ ions while reagent B is a small molecule that binds to the Bi3+ ions in spaces between the reagent A molecules. Reagents A and B reduce the standard electrode potential difference of Sn and Bi to permit co-deposition rates that yield a Sn—Bi alloy of 30-70% Bi by weight, around the 58% eutectic, with an alloy melting point below 180° C. for use as a low-temperature solder. Reagent C has a hydrophilic end that attaches to the electrode surface and a hydrophobic tail that is an aliphatic chain that attracts hydrogen gas, removing H2 gas from the electrode surface. Reagent C improves alloy microstructure by removing H2 gas generated at the cathode that can block Bi3+ ions from uniformly depositing on the surface.

Abstract: Used batteries are screened based on a measured Sectional Constant-Current Impulse Ratio (SCCIR). A used battery is partially charged over a small voltage range using a Constant Current (CC) until a voltage target is reached, and the current integrated to obtain the CC charge applied, Qcc. Then the battery continues to be charged using a Constant Voltage (CV) of the voltage target until the charging current falls to a midrange current target before the battery is fully charged. The current is integrated over the CV period to obtain the CV charge applied, Qcv. The measured SCCIR is the ratio of Qcc to (Qcc+Qcv) and is input to a calibration curve function to obtain a modeled State of Health (SOH) value for sorting. The calibration curve function is obtained by aging new batteries to obtain SCCIR and SOH data that are modeled using a neural network.

Abstract: A method for determining a presence of a pancreatic tumor, assessing a development or risk of development of a pancreatic tumor, and/or assessing a progression of a pancreatic tumor, including determining a presence and/or content of a modification status of a DNA region with gene EBF2 or a fragment thereof in a sample to be tested.

Abstract: Used batteries are screened based on a measured Constant-Current Impulse Ratio. A used battery is charged using a Constant Current (CC) until a voltage target is reached, and the current integrated to obtain the CC charge applied, QCC. Then the battery continues to be charged using a Constant Voltage (CV) of the voltage target until the charging current falls to a minimum current target. The current is integrated over the CV period to obtain the CV charge applied, QCV. The measured CCIR is the ratio of QCC to (QCC+QCV). The measured CCIR is input to a calibration curve function to obtain a modeled State of Health (SOH) value. The used battery is sorted for reuse or disposal based on the modeled SOH value. The calibration curve function is obtained by aging new batteries to obtain CCIR and SOH data that are modeled using a neural network.

Abstract: A used battery is discharged for a short time from a first Open Circuit Voltage (OCV1) to a second OCV2 and the discharge current ?Q measured. OCV1 is input to a calibration curve model to obtain a first modeled State of Charge (SOC1) value, and OCV2 is input to the calibration curve model to obtain a second modeled SOC2 value. The State of Health (SOH) is calculated as ?Q/[Qnew×(SOC1?SOC2)], where Qnew is the battery capacity when new. The used battery is sorted for reuse or disposal based on the SOH value. The calibration curve model is obtained by Artificial Intelligence (AI) modeling of OCV, SOC datapoints from fully charging and discharging used batteries. Only OCV values within a target region having a low first derivative of SOC as a function of OCV are modeled, and OCV1 and OCV2 are within this target region.

Abstract: Used batteries are screened based on a measured Sectional Constant-Current Impulse Ratio (SCCIR). A used battery is partially charged over a small voltage range using a Constant Current (CC) until a voltage target is reached, and the current integrated to obtain the CC charge applied, Qcc. Then the battery continues to be charged using a Constant Voltage (CV) of the voltage target until the charging current falls to a midrange current target before the battery is fully charged. The current is integrated over the CV period to obtain the CV charge applied, Qcv. The measured SCCIR is the ratio of Qcc to (Qcc+Qcv) and is input to a calibration curve function to obtain a modeled State of Health (SOH) value for sorting. The calibration curve function is obtained by aging new batteries to obtain SCCIR and SOH data that are modeled using a neural network.

Abstract: Used batteries are screened based on a measured Constant-Current Impulse Ratio. A used battery is charged using a Constant Current (CC) until a voltage target is reached, and the current integrated to obtain the CC charge applied, QCC. Then the battery continues to be charged using a Constant Voltage (CV) of the voltage target until the charging current falls to a minimum current target. The current is integrated over the CV period to obtain the CV charge applied, QCV. The measured CCIR is the ratio of QCC to (QCC+QCV). The measured CCIR is input to a calibration curve function to obtain a modeled State of Health (SOH) value. The used battery is sorted for reuse or disposal based on the modeled SOH value. The calibration curve function is obtained by aging new batteries to obtain CCIR and SOH data that are modeled using a neural network.

Abstract: The presently claimed invention provides a plating additive for electrodeposition, and the corresponding fabrication method thereof. The plating additive of the present invention enables to electroplate holes on a substrate with good height uniformity within a feature and among features at different diameters.

Abstract: The presently claimed invention provides a plating additive for electrodeposition, and the corresponding fabrication method thereof. The plating additive of the present invention enables to electroplate holes on a substrate with good height uniformity within a feature and among features at different diameters.