Abstract: Systems and methods of generating active notifications for users of a networked computer system using transportation service prediction are disclosed herein. In some example embodiments, a computer system uses a prediction model to generate a transportation service prediction for a user based on an identification of the user, location data for the user, prediction time data, and historical user data for instances of the user using the transportation, and then causes a notification to be displayed on a computing device of the user based on the transportation service prediction, with the notification indicating a recommended use of the transportation service in association with the place for the time of day and the day of the week, and the notification comprising a selectable user interface element configured to enable the user to submit an electronic request for the recommended use of the transportation service.

Abstract: An aqueous dispersion of multistage polymeric particles comprises at least two polymers, and a coating composition comprising such aqueous dispersion of multistage polymeric particles can provide coatings with hot resistance, alcohol resistance, alkali resistance and acetic acid resistance.

Abstract: Systems and methods of generating active notifications for users of a networked computer system using transportation service prediction are disclosed herein. In some example embodiments, a computer system uses a prediction model to generate a transportation service prediction for a user based on an identification of the user, location data for the user, prediction time data, and historical user data for instances of the user using the transportation, and then causes a notification to be displayed on a computing device of the user based on the transportation service prediction, with the notification indicating a recommended use of the transportation service in association with the place for the time of day and the day of the week, and the notification comprising a selectable user interface element configured to enable the user to submit an electronic request for the recommended use of the transportation service.

Abstract: A method for testing gas produced by fermentation of intestinal flora includes placing a sample bottle into a sample bin; inserting the sampling needle into a sample bottle for sampling; communicating the sample bottle with a gas detecting cavity, and quantitatively extracting the fermentation gas from the sample bottle; detecting the concentration of a certain fermentation gas using a sensor to deduce the concentration of the fermentation gas in the sample bottle; repeating the detection by using a step-type injection mode until the detection in preset gradients of all the fermentation gas of gut flora is completed, and the detection data of each fermentation gas of gut flora conforms to the detection range of the preset gas sensor; and carrying out reduced calculation of the concentration of each fermentation gas of gut flora in the sample bottle according to the collected data. An instrument carries the test method.

Abstract: A lubricant composition that comprises a hydrocarbon base oil, a polar viscosity improver; and an esterified polyalkylene glycol: R1[O(R2O)n(R3O)m(C?O)R4]p, wherein R1 is a linear alkyl having 1 to 18 carbon atoms, a branched alkyl having 4 to 18 carbon atoms or an aryl with 6 to 30 carbon atoms; R2O is an oxypropylene moiety derived from 1, 2-propylene oxide; R3O is an oxybutylene moiety derived from butylene oxide, wherein R2O and R3O are in a block or a random distribution; R4 is a linear alkyl with 1 to 18 carbon atoms, a branched alkyl with 4 to 18 carbon atoms or an aryl with 6 to 18 carbon atoms; n and m are each independently integers ranging from 0 to 20 wherein n+m is greater than 0, and p is an integer from 1 to 4. The lubricant composition may have a viscosity index of at least 150, a kinematic viscosity at 100° C. from 2 to 5 centistokes and a kinematic viscosity at ?20° C. of at most 600 centistokes.

Abstract: A phosphate surfactant composition including a phosphate surfactant formed from a secondary alcohol alkoxylate.

Abstract: The present disclosure provides A lubricant composition comprises an antioxidant; and an esterified polyalkylene glycol: R1[O(R2O)n(R3O)m(C?O)R4]p, wherein R1 is a linear alkyl having 1 to 18 carbon atoms, a branched alkyl having 4 to 18 carbon atoms or an aryl with 6 to 30 carbon atoms; R2O is an oxypropylene moiety derived from 1,2-propylene oxide; R3O is an oxybutylene moiety derived from butylene oxide, wherein R2O and R3O are in a block or a random distribution; R4 is a linear alkyl with 1 to 18 carbon atoms, a branched alkyl with 4 to 18 carbon atoms or an aryl with 6 to 18 carbon atoms; n and m are each independently integers ranging from 0 to 20 wherein n+m is greater than 0, and p is an integer from 1 to 4, wherein the antioxidant is present in an amount by weight of at least 0.5% to 20% based upon the weight of the antioxidant and the esterified polyalkylene glycol and the antioxidant is soluble in the esterified polyalkylene glycol in an amount of at least 0.5% by weight.

Abstract: A cotton topping unmanned aerial vehicle having cutter discs and front grain lifting baffle plates is provided, the unmanned aerial vehicle includes an unmanned aerial vehicle body, a carrying component, a grain lifting component, and a cutting component. The carrying component includes a suspension, an electric push rod mounting base, an electric push rod, a motor mounting base, and motors. An upper end of the electric push rod is bolted to the electric push rod mounting base. The motor mounting base is welded to a lower end of the electric push rod. The grain lifting component is grain lifting baffle plates which include a left baffle plate and a right baffle plate, and both the left baffle plate and the right baffle plate are welded to guard plates.

Abstract: The present disclosure provides A lubricant composition comprises an antioxidant; and an esterified polyalkylene glycol: R1[O(R2O)n(R3O)m(C?O)R4]p, wherein R1 is a linear alkyl having 1 to 18 carbon atoms, a branched alkyl having 4 to 18 carbon atoms or an aryl with 6 to 30 carbon atoms; R2O is an oxypropylene moiety derived from 1,2-propylene oxide; R3O is an oxybutylene moiety derived from butylene oxide, wherein R2O and R3O are in a block or a random distribution; R4 is a linear alkyl with 1 to 18 carbon atoms, a branched alkyl with 4 to 18 carbon atoms or an aryl with 6 to 18 carbon atoms; n and m are each independently integers ranging from 0 to 20 wherein n+m is greater than 0, and p is an integer from 1 to 4, wherein the antioxidant is present in an amount by weight of at least 0.5% to 20% based upon the weight of the antioxidant and the esterified polyalkylene glycol and the antioxidant is soluble in the esterified polyalkylene glycol in an amount of at least 0.5% by weight.

Abstract: A lubricant composition that comprises a hydrocarbon base oil, a polar viscosity improver; and an esterified polyalkylene glycol: R1[O(R2O)n(R3O)m(C?O)R4]p, wherein R1 is a linear alkyl having 1 to 18 carbon atoms, a branched alkyl having 4 to 18 carbon atoms or an aryl with 6 to 30 carbon atoms; R2O is an oxypropylene moiety derived from 1, 2-propylene oxide; R3O is an oxybutylene moiety derived from butylene oxide, wherein R2O and R3O are in a block or a random distribution; R4 is a linear alkyl with 1 to 18 carbon atoms, a branched alkyl with 4 to 18 carbon atoms or an aryl with 6 to 18 carbon atoms; n and m are each independently integers ranging from 0 to 20 wherein n+m is greater than 0, and p is an integer from 1 to 4. The lubricant composition may have a viscosity index of at least 150, a kinematic viscosity at 100° C. from 2 to 5 centistokes and a kinematic viscosity at ?20° C. of at most 600 centistokes.

Abstract: The disclosure belongs to the technical field of radiomics, and particularly relates to an extraction method for radiomics feature information of knee joint effusion. each layer of an image is segmented into a plurality of regions, the interference of image noises in each region is removed, then whether each region after interference removal is an effusion region or not is judged, finally, the radiomics features of each effusion region are calculated, interpolation processing is respectively implemented on the obtained image position and the area of the effusion regions, an effusion area simulation change curve is drawn, curve integration is implemented to obtain volume information, and all the extracted information is stored in a cell array of a MATLAB. thus the effusion information in the MRI image of the knee joint is automatically extracted, and meanwhile, the method is fast in speed, high in accuracy, good in repeatability.

Abstract: Systems and methods of generating active notifications for users of a networked computer system using transportation service prediction are disclosed herein. In some example embodiments, a computer system uses a prediction model to generate a transportation service prediction for a user based on an identification of the user, location data for the user, prediction time data, and historical user data for instances of the user using the transportation, and then causes a notification to be displayed on a computing device of the user based on the transportation service prediction, with the notification indicating a recommended use of the transportation service in association with the place for the time of day and the day of the week, and the notification comprising a selectable user interface element configured to enable the user to submit an electronic request for the recommended use of the transportation service.

Abstract: A phosphate surfactant composition including a phosphate surfactant formed from a secondary alcohol alkoxylate.

Abstract: A system for processing data is provided. During operation, the system obtains a current window of one or more intervals of timeseries data collected from a monitored system. Next, the system continuously performs a statistical hypothesis test that compares the one or more intervals of the time-series data with baseline values from historic time-series data associated with the monitored system. When the statistical hypothesis test indicates a deviation of the time-series data from the baseline values, the system outputs an alert of an anomaly represented by the deviation.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a set of components of a time-series performance metric associated with an anomaly in a performance of one or more monitored systems. For each component in the set of components, the system performs a statistical hypothesis test on the component to assess a deviation of the component from a baseline value of the component. When the statistical hypothesis test identifies a statistically significant deviation of the component from the baseline value, the system outputs an alert comprising a root cause of the anomaly that is represented by the statistically significant deviation of the component from the baseline value.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a component of a time-series performance metric associated with a server-side root cause of an anomaly in the time-series performance metric. Next, the system obtains a call graph representation of the component, wherein the call graph representation includes a parent node having a parent value of the component and a set of child nodes of the parent node, each child node having a corresponding child value of the component. The system then analyzes the call graph representation to identify one or more of the child nodes as sources of the anomaly. Finally, the system outputs an alert that identifies the sources of the anomaly.

Abstract: A machine may be configured to detect an anomalous event based on metrics pertaining to a production system. For example, the machine analyzes a time series of values associated with a metric pertaining to a production system. The machine identifies a pattern associated with the time series based on the analysis of the time series. The pattern may describe an occurrence of particular values at particular timestamps of the time series. The machine determines a range of potential values for a next timestamp in the time series based on the pattern. The machine assigns a score value to an actual value associated with the metric and corresponding to the next timestamp. The assigning of the score value may be based on a comparison of the actual value and the range of potential values. The machine identifies the actual value as a candidate for an alert based on the score value.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a set of components of a time-series performance metric associated with an anomaly in a performance of one or more monitored systems. For each component in the set of components, the system performs a statistical hypothesis test on the component to assess a deviation of the component from a baseline value of the component. When the statistical hypothesis test identifies a statistically significant deviation of the component from the baseline value, the system outputs an alert comprising a root cause of the anomaly that is represented by the statistically significant deviation of the component from the baseline value.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a current window of one or more intervals of time-series data collected from a monitored system. Next, the system continuously performs a statistical hypothesis test that compares the one or more intervals of the time-series data with baseline values from historic time-series data associated with the monitored system. When the statistical hypothesis test indicates a deviation of the time-series data from the baseline values, the system outputs an alert of an anomaly represented by the deviation.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a component of a time-series performance metric associated with a server-side root cause of an anomaly in the time-series performance metric. Next, the system obtains a call graph representation of the component, wherein the call graph representation includes a parent node having a parent value of the component and a set of child nodes of the parent node, each child node having a corresponding child value of the component. The system then analyzes the call graph representation to identify one or more of the child nodes as sources of the anomaly. Finally, the system outputs an alert that identifies the sources of the anomaly.