Abstract: A power divider, a regulation method, a power allocation method, a storage medium, and an electronic device are disclosed. The power divider includes M power division units. The M power division units are cascade connected to form a cascade structure of N levels, each of the power division units includes one input port and two output ports. Each of power division units in a Kth level in the cascade structure satisfies relationships of: input impedance of a power division unit in the Kth level conjugate-matches output impedance of a unit connected to an input port of the power division unit in the Kth level, and output impedance of the power division unit in the Kth level conjugate-matches load impedance of the power division unit in the Kth level, where N, K, and M are positive integers greater than or equal to 1.

Abstract: In some embodiments, a computing system extrapolates aggregated interaction data associated with users of an online platform by applying a mixed granularity model to generate extrapolated interaction data for each user in the users. The aggregated interaction data includes a total number of occurrences of a target action performed by the users with respect to the online platform. The extrapolated data includes a series of actions leading to the target action for each user. The computing system identifies an impact of each action in the series of actions for each user on leading to the target action based, at least in part, upon the extrapolating a series of actions associated with the user. User interfaces presented on the online platform can be modified based on at least the identified impacts to improve customization of the user interfaces to the users or enhance an experience of the users.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating a modified analytics prediction machine learning model using an iterative transfer learning approach. For example, the disclosed systems generate an initial version of an analytics prediction machine learning model for predicting an analytics metric according to learned parameters. In some embodiments, the disclosed systems determine expected data channel contributions for the analytics metric according to prior data. Additionally, in some cases, the disclosed systems generate a modified analytics prediction machine learning model by iteratively updating model parameters such that predicted data channel contributions are within a threshold similarity of expected data channel contributions.

Abstract: The present invention provides for compositions and methods for the early detection of prodromal Parkinson's Disease as well as for early medical intervention, especially among individual who may not have been diagnosed but are at an elevated risk of later developing Parkinson's Disease and related conditions.

Abstract: Systems and processes for packing complementary articles of footwear into a container are disclosed. The processes can include utilizing a reusable packing sheet positioned underneath complementary articles of footwear to transfer the complementary articles of footwear into a container. The processes can also include removing the reusable packing sheet from underneath the complementary articles of footwear while the complementary articles of footwear remain positioned in the container. Additional processes can include aligning and sizing complementary articles of footwear for packing in a container.

Abstract: A method and device for outputting frequency multiplication signal having high harmonic suppression, and a storage medium. The method includes: obtaining initial signal; inputting the initial signal into target circuit, where the target circuit includes parallel circuit, first circuit of the parallel circuit is provided with frequency multiplier, second circuit of the parallel circuit is provided with phase adjustment module, the first circuit is connected to input end and output ends of the target circuit, the second circuit is disconnected from the input end and the output end, the phase adjustment module is configured to adjust a phase of the second circuit to a target phase, and phase difference between the target phase and a first phase of the first circuit is greater than 90 degrees; taking a target signal output from the target circuit as frequency multiplication signal of the initial signal.

Abstract: The invention relates to a method for mapping topics. The method includes obtaining terms, obtaining tokens from each term, and identifying a first and a second set of topics. Each of the topics represents one or more of the terms. The method further includes identifying first and second topic names for the first and the second sets of topics. For each topic, the tokens associated with the terms assigned to the topic are analyzed for relevance, and a token with a high relevance is selected as the topic name. The method also includes selecting one of the first and one of the second sets of topics to obtain first and second selected topics, determining, based on the one or more terms, a similarity value between each of the first and the second selected topics, and establishing a mapping between similar first and second selected topics.

Abstract: Systems and processes for packing complementary articles of footwear into a container are disclosed. The processes can include utilizing a reusable packing sheet positioned underneath complementary articles of footwear to transfer the complementary articles of footwear into a container. The processes can also include removing the reusable packing sheet from underneath the complementary articles of footwear while the complementary articles of footwear remain positioned in the container. Additional processes can include aligning and sizing complementary articles of footwear for packing in a container.

Abstract: Systems and processes for packing complementary articles of footwear into a container are disclosed. The processes can include utilizing a reusable packing sheet positioned underneath complementary articles of footwear to transfer the complementary articles of footwear into a container. The processes can also include removing the reusable packing sheet from underneath the complementary articles of footwear while the complementary articles of footwear remain positioned in the container. Additional processes can include aligning and sizing complementary articles of footwear for packing in a container.

Abstract: A spatial data abrupt change inspection method in national territory development planning, an application system and a cloud platform are disclosed. The spatial data abrupt change inspection method in national territory development planning includes the steps of preprocessing of abrupt change inspection data and abrupt change inspection; the application system applies the spatial data abrupt change inspection method in national territory development planning to perform abrupt change inspection; and the cloud platform is configured with the application system. After preprocessing of a superior user, all comparison computing is based on comparison of attribute data. A spatial planning cloud support platform is used for computing in a distributed manner.

Abstract: A method and system identify assistance offerings that are likely to be relevant to users of a data management system. The method and system utilize a multivariate random forest regression machine learning process to train an assistance offerings recommendation model to recommend relevant assistance offerings to users of the data management system. The multivariate random forest regression machine learning process replaces zero values in the training set data with negative numbers to increase the accuracy of the machine learning process.

Abstract: The invention relates to a method for mapping topics. The method includes obtaining terms, obtaining tokens from each term, and identifying a first and a second set of topics. Each of the topics represents one or more of the terms. The method further includes identifying first and second topic names for the first and the second sets of topics. For each topic, the tokens associated with the terms assigned to the topic are analyzed for relevance, and a token with a high relevance is selected as the topic name. The method also includes selecting one of the first and one of the second sets of topics to obtain first and second selected topics, determining, based on the one or more terms, a similarity value between each of the first and the second selected topics, and establishing a mapping between similar first and second selected topics.

Abstract: A power divider, a regulation method, a power allocation method, a storage medium, and an electronic device are disclosed. The power divider includes M power division units. The M power division units are cascade connected to form a cascade structure of N levels, each of the power division units includes one input port and two output ports. Each of power division units in a Kth level in the cascade structure satisfies relationships of: input impedance of a power division unit in the Kth level conjugate-matches output impedance of a unit connected to an input port of the power division unit in the Kth level, and output impedance of the power division unit in the Kth level conjugate-matches load impedance of the power division unit in the Kth level, where N, K, and M are positive integers greater than or equal to 1.

Abstract: A method including obtaining terms that are specific to a domain. First and second sets of the terms are obtained from first and second users. The first set do not adhere to a standard; the second terms do adhere to the standard. Tokens are obtained from the terms. First and second topics, representing terms, are identified within the domain. The terms are assigned to exactly one corresponding topic. The terms are assigned to the topics. First and second topic names are identified for the first and second topics. Identifying includes analyzing, for relevance, ones of the tokens. Identifying also includes selecting a particular token as a selected topic name for a selected one of the first topics and the second topics. A similarity value is determined between the first and the second selected topics. A mapping is established, based on the similarity value, between the first and second selected topic.

Abstract: Disclosed is a combined energy supply system of wind, photovoltaic, solar thermal power and medium-based heat storage, capable of storing the energy which would have been “abandoned wind” and “abandoned light” temporarily in the form of heat by medium-based energy storage. Heat is released during peaks in the power grid to generate power, which serves the function of adjusting the peaks in the power grid. With the medium-based energy storage, unstable photovoltaic electric energy can be converted into stable heat energy output when a relatively large fluctuation occurs in wind and photovoltaic power generation, and therefore the stable supply of energy sources can be guaranteed efficiently. Furthermore, a second heater can also be used for heating the low-temperature media outputted by a first medium tank (100), or a third heater is used for heating water in a heat exchanger (500), and therefore the energy storage of the medium or the heating efficiency of the heat exchanger is improved.

Abstract: A method and system identify assistance offerings that are likely to be relevant to users of a data management system. The method and system utilize a multivariate random forest regression machine learning process to train an assistance offerings recommendation model to recommend relevant assistance offerings to users of the data management system. The multivariate random forest regression machine learning process replaces zero values in the training set data with negative numbers to increase the accuracy of the machine learning process.

Abstract: A method and system identify assistance offerings that are likely to be relevant to users of a data management system. The method and system utilize a multivariate random forest regression machine learning process to train an assistance offerings recommendation model to recommend relevant assistance offerings to users of the data management system. The multivariate random forest regression machine learning process replaces zero values in the training set data with negative numbers to increase the accuracy of the machine learning process.

Abstract: The invention relates to a method for generating a topic name for accounts grouped under a topic. The method includes obtaining account names associated with the accounts, generating a plurality of n-grams from the account names, and for each n-gram, obtaining a quality score based on relevance and meaningfulness of the n-gram. The relevance is determined using at least one relevance score that reflects how representative the n-gram is for the plurality of n-grams, and the meaningfulness is determined based on whether the n-gram exists in a knowledge base. The method further includes assigning one or more of the n-grams to the topic as the topic name, based on the quality score generated for each of the n-grams.

Abstract: A method including obtaining terms that are specific to a domain. First and second sets of the terms are obtained from first and second users. The first set do not adhere to a standard; the second terms do adhere to the standard. Tokens are obtained from the terms. First and second topics, representing terms, are identified within the domain. The terms are assigned to exactly one corresponding topic. The terms are assigned to the topics. First and second topic names are identified for the first and second topics. Identifying includes analyzing, for relevance, ones of the tokens. Identifying also includes selecting a particular token as a selected topic name for a selected one of the first topics and the second topics. A similarity value is determined between the first and the second selected topics. A mapping is established, based on the similarity value, between the first and second selected topic.