Abstract: A heat pump system, a heat management method and a vehicle are provided. The heat pump system includes an integrated heat exchanger integrated with a superconducting liquid flow passage and a refrigerant flow passage. The refrigerant flow passage is provided inside an on-board refrigerant circulation loop and is used for cooling and/or heating to adjust the temperature within a passenger compartment of a vehicle. The superconducting liquid flow passage is in communication with a motor heat dissipating conduit, for absorbing the heat generated by an on board motor and transferring the heat to the integrated heat exchanger by means of phase change heat transfer. The heat pump system can increase the energy utilization rate for the vehicle and reduce the allowable ambient temperature of the heat pump system.

Abstract: Provided is a method including determining a combined plurality of accounts, determining, for each account of the combined plurality of accounts, aggregate transaction data associated with a plurality of transactions involving the account; determining a first cohort level group including a group of exposed accounts and controls accounts; determining a first segment level group of accounts from the first cohort level group of accounts; generating a prediction model based on a plurality of control accounts that are included in the first segment level group of accounts; identifying a first exposed account of a plurality of exposed accounts; determining a first control account of the plurality of control accounts that corresponds to a first exposed account using the prediction model; and outputting a report comprising data associated with the first control account that corresponds to the first exposed account. Systems and computer program products are also provided.

Abstract: Provided is a method including determining a combined plurality of accounts, determining, for each account of the combined plurality of accounts, aggregate transaction data associated with a plurality of transactions involving the account; determining a first cohort level group including a group of exposed accounts and controls accounts; determining a first segment level group of accounts from the first cohort level group of accounts; generating a prediction model based on a plurality of control accounts that are included in the first segment level group of accounts; identifying a first exposed account of a plurality of exposed accounts; determining a first control account of the plurality of control accounts that corresponds to a first exposed account using the prediction model; and outputting a report comprising data associated with the first control account that corresponds to the first exposed account. Systems and computer program products are also provided.

Abstract: Provided is a method including determining a combined plurality of accounts, determining, for each account of the combined plurality of accounts, aggregate transaction data associated with a plurality of transactions involving the account; determining a first cohort level group including a group of exposed accounts and controls accounts; determining a first segment level group of accounts from the first cohort level group of accounts; generating a prediction model based on a plurality of control accounts that are included in the first segment level group of accounts; identifying a first exposed account of a plurality of exposed accounts; determining a first control account of the plurality of control accounts that corresponds to a first exposed account using the prediction model; and outputting a report comprising data associated with the first control account that corresponds to the first exposed account. Systems and computer program products are also provided.

Abstract: Provided is a method including determining a combined plurality of accounts, determining, for each account of the combined plurality of accounts, aggregate transaction data associated with a plurality of transactions involving the account; determining a first cohort level group including a group of exposed accounts and controls accounts; determining a first segment level group of accounts from the first cohort level group of accounts; generating a prediction model based on a plurality of control accounts that are included in the first segment level group of accounts; identifying a first exposed account of a plurality of exposed accounts; determining a first control account of the plurality of control accounts that corresponds to a first exposed account using the prediction model; and outputting a report comprising data associated with the first control account that corresponds to the first exposed account. Systems and computer program products are also provided.

Abstract: Disclosed are a method and device for valuating quality of a video in a time domain on a terminal side. The method comprises that: a significant movement area proportion of each video frame is calculated, video frames are divided into absolute regular frames and suspected distorted frames according to the significant movement area proportion of each video frame; a frozen frame detection, a scenario-conversion frame detection, a jitter frame detection, and a ghosting frame detection are performed on the suspected distorted frames; the video is split into scenarios according to the result of the scenario-conversion frame detection, scenario information weight of each scenario is calculated, and the quality of the video in time domain on the terminal side is determined. The disclosure increases the closeness of the evaluation result to subjective perception, expands an evaluation system of time domain distortions of the video, and reduces the probability of misjudgments.

Abstract: Disclosed are a method and device for valuating quality of a video in a time domain on a terminal side. The method comprises that: a significant movement area proportion of each video frame is calculated, video frames are divided into absolute regular frames and suspected distorted frames according to the significant movement area proportion of each video frame; a frozen frame detection, a scenario-conversion frame detection, a jitter frame detection, and a ghosting frame detection are performed on the suspected distorted frames; the video is split into scenarios according to the result of the scenario-conversion frame detection, scenario information weight of each scenario is calculated, and the quality of the video in time domain on the terminal side is determined. The disclosure increases the closeness of the evaluation result to subjective perception, expands an evaluation system of time domain distortions of the video, and reduces the probability of misjudgments.