Abstract: Methods and descriptions are described herein for using user-specific parameters to detect malicious activity in an interaction by a user. In particular, the system may receive user action data representing user actions for users relative to applications. The system may generate, using first user action data representing first user actions of a first user, parameters specific to the first user for determining whether interactions of the first user represent malicious activity. The system may receive, for the first user, a request for a pending interaction with a particular application. The system may then use a first user model trained on the first user action data to identify a set of parameters for identifying the malicious activity. The system may validate the request, in real time, by using the set of parameters to generate a likelihood that the request represents malicious activity.

Abstract: A hair treatment composition comprising: a) a conditioning base comprising: i) a cationic conditioning surfactant having from 16 to 32 carbon atoms; ii) a fatty alcohol having from 8 to 22 carbon atoms; and b) from 0.1 to 10 wt % of a microcapsule in which a core comprising benefit agent is encapsulated in a polymeric shell; and (c) from 0.1 to 5 wt % of a diesterquat, provides improved deposition of microcapsules and delivery of benefit agent to hair surfaces.

Abstract: A hair treatment composition comprising: a) a conditioning base comprising: i) a cationic conditioning surfactant having from 16 to 32 carbon atoms; ii) a fatty alcohol having from 8 to 22 carbon atoms; and b) from 0.1 to 10 wt % of metal pyrithiones and mixtures thereof; wherein the composition further comprises: (c) from 0.1 to 5 wt % of a diesterquat; and wherein the ratio of b) to c) is from 1:1 to 1:0.1, provides improved deposition of metal pyrithione on hair surfaces.

Abstract: The technology provides a platform that employs methods and systems to use an aggregated data platform to provide insight aggregation and modeling techniques to detect fraud in an interaction. The system provides a platform that collects data associated with a user from multiple siloed account providers, service providers, or other interactive applications. The system processes the received data from the sources and stores aggregated data in a single format. The system applies one or more machine learning algorithms to the aggregated data to identify one or more rule sets to identify fraudulent interactions. When the user attempts a new interaction, the system selects a subset of the rules to apply to the interaction to identify potential fraud. The system may use one or more machine learning algorithms to select a rule or a combination of rules to apply to identify any potentially fraudulent components of the interaction.

Abstract: In various examples, visual differences between video data and an encoded version of the video data are used to determine updates to quantization parameters (QPs) used to encode the video data to store or upload video clips that corresponds to notable events associated with a machine. The video data may correspond to images applied to a machine learning model to perform control operations for the machine. A metric may be used to quantify the visual differences. To evaluate the visual differences, samples of the video data and encoded video data may be determined and analyzed, rather than entire images or frames. To selectively enable updates to QPs, the system may detect that a deviation between a bitrate corresponding to the encoded data and a reference bitrate has exceeded a threshold.

Abstract: Methods and descriptions are described herein for using user-specific parameters to detect malicious activity in an interaction by a user. In particular, the system may receive user action data representing user actions for users relative to applications. The system may generate, using first user action data representing first user actions of a first user, parameters specific to the first user for determining whether interactions of the first user represent malicious activity. The system may receive, for the first user, a request for a pending interaction with a particular application. The system may then use a first user model trained on the first user action data to identify a set of parameters for identifying the malicious activity. The system may validate the request, in real time, by using the set of parameters to generate a likelihood that the request represents malicious activity.

Abstract: A computer-implemented bidding method, computer equipment and a storage medium are provided. The computer-implemented bidding method includes: training a CatBoost regression model through a historical bidding data set, where the historical bidding data set includes bidding configuration parameters as an input of the model and a difference between a first quote and a final quote as an output of the model; and inputting current basic bidding parameters into the trained CatBoost regression model, and outputting values of optimized bidding configuration parameters to configure bidding rules for bidding participants. The computer-implemented bidding method can help a purchaser to purchase a required product at a relatively low price, thereby saving the purchase cost.

Abstract: A method of providing anti-frizz to hair, comprising the steps of: (i) applying a shampoo composition to the hair, wherein the composition comprises (a) from 0.05 wt % to 1.4 wt % a soluble zinc compound. (b) a cleansing surfactant selected from anionic surfactants and mixtures thereof. (c) from 0.1 wt % to 10 wt % of a suspending agent, and (d) from 0.01 wt % to 5 wt % of a cationic deposition polymer; and; wherein the composition has a pH of from 3 to 5; and (ii) rinsing the composition from the hair.

Abstract: A shampoo composition comprising i) 0.9 to 2 wt % of an alkali metal salt of an aldonic acid, which is sodium gluconate; ii) 0.1 to 2 wt %, citric acid by weight of the total composition; and iii) an anionic surfactant; iv) a preservative, which is sodium benzoate; and wherein the composition has a pH of from 3 to 5, provides repair to damaged internal protein of hair.

Abstract: A method of measuring a wet friction of a bundle of hair, using a system which includes a friction probe having a contact surface and fitted with a weight in the range of from 10 g to 500 g, inclusive, a means for securing the bundle of hair, and a water bath, the friction probe being connected to a texture analyser, the method including the step of i) providing a bundle of hair fibres. The method also includes the steps of ii) aligning the bundle of hair fibres; iii) securing the bundle of hair fibres; iv) immersing the bundle of hair fibres under water in the water bath; v) contacting the bundle of hair fibres with the contact surface of the friction probe, which is fitted with the weight; vi) moving the probe along the hair fibres; and vii) recording the friction generated under step vi).

Abstract: A computer-implemented bidding method, computer equipment and a storage medium are provided. The computer-implemented bidding method includes: training a CatBoost regression model through a historical bidding data set, where the historical bidding data set includes bidding configuration parameters as an input of the model and a difference between a first quote and a final quote as an output of the model; and inputting current basic bidding parameters into the trained CatBoost regression model, and outputting values of optimized bidding configuration parameters to configure bidding rules for bidding participants. The computer-implemented bidding method can help a purchaser to purchase a required product at a relatively low price, thereby saving the purchase cost.

Abstract: An airbag includes a U-shaped chamber, a head-impact chamber, and an uninflatable panel. The U-shaped chamber has a first side leg, a second side leg, and a top extending from the first side leg to the second side leg. The head-impact chamber is disposed between the first side leg and the second side leg. The uninflatable panel extends from the first leg to the second leg adjacent the head-impact chamber.

Abstract: i) an alkali metal salt of an aldonic acid; ii) 0.1 to 5 wt %, citric acid by weight of the total composition; and iii) a surfactant; wherein the composition has a pH of from 3 to 5, provides repair to damaged internal protein of hair.

Abstract: A method of repairing damaged hair, comprising the step of applying a composition to the hair, wherein the composition comprises a soluble zinc compound and a cleansing surfactant; and wherein the composition has a pH of from 3 to 5.

Abstract: An airbag includes a U-shaped chamber, a head-impact chamber, and an uninflatable panel. The U-shaped chamber has a first side leg, a second side leg, and a top extending from the first side leg to the second side leg. The head-impact chamber is disposed between the first side leg and the second side leg. The uninflatable panel extends from the first leg to the second leg adjacent the head-impact chamber.

Abstract: A hair treatment composition comprising: a) a conditioning base comprising: i) a cationic conditioning surfactant having from 16 to 32 carbon atoms; ii) a fatty alcohol having from 8 to 22 carbon atoms; and b) from 0.1 to 10 wt % of metal pyrithiones and mixtures thereof; wherein the composition further comprises: (c) from 0.1 to 5 wt % of a diesterquat; and wherein the ratio of b) to c) is from 1:1 to 1:0.1, provides improved deposition of metal pyrithione on hair surfaces.