Abstract: A power device includes a mainboard and a power conversion module. The mainboard includes a first side and a third side opposite each other along a first direction, a second side and a fourth side opposite each other along a second direction, the first direction is perpendicular to the second direction. The power conversion module includes a primary-side circuit board and a secondary-side module. The secondary-side module includes a secondary-side circuit board, and the primary-side circuit board, the mainboard and the secondary-side circuit board being electrically connected, the primary-side circuit board and the secondary-side circuit board are spatially separated. The secondary-side module further includes secondary-side element and a first magnetic core element, wherein the secondary-side element and the first magnetic core element are disposed on the secondary-side circuit board along a third direction perpendicular to the first direction and the second direction.

Abstract: A cordycepin-based derived compound with an anti-tumor effect, and a structure of the compound is as shown in formula I; a cordycepin derivative and a pharmaceutical composition thereof provided by the invention have a good anti-tumor proliferation effect; compared with a parent drug, the cordycepin derivative has better affinity to cell membranes, so that a half-life period of in-vivo metabolism of the drug is longer, and in-vivo remaining time of the drug is longer; compared with other nucleoside anti-tumor drugs, the cordycepin derivative and the pharmaceutical composition thereof provided by the invention have wider types and action ranges of tumors, have excellent inhibition effects on a gastric cancer, a pancreatic cancer, a liver cancer, a small cell lung cancer, a colorectal cancer, melanoma, an ovarian cancer and the like, and have lower side effects and better curative effects.

Abstract: In one embodiment, a method for managing content in a content distribution network (CDN) is provided. The CDN includes a main controlling server, an edge node connected to the main controlling server, and an indexing system connected to the main controlling server. The method includes executing the following steps at the main controlling server: monitoring whether used storage space of the edge node exceeds a predetermined threshold value; acquiring a list of protected files (U1) from the indexing system if the used storage space exceeds the predetermined threshold value; performing directory traversal for the edge node to get a list of object files (U0) whose difference between latest modified time and the current time exceeds a predetermined time range; getting a list of files to be deleted U2=U0?U1; and deleting each of the file included in U2 from the edge node.

Abstract: In one embodiment, a method for managing content in a content distribution network (CDN) is provided. The CDN includes a main controlling server, an edge node connected to the main controlling server, and an indexing system connected to the main controlling server. The method includes executing the following steps at the main controlling server: monitoring whether used storage space of the edge node exceeds a predetermined threshold value; acquiring a list of protected files (U1) from the indexing system if the used storage space exceeds the predetermined threshold value; performing directory traversal for the edge node to get a list of object files (U0) whose difference between latest modified time and the current time exceeds a predetermined time range; getting a list of files to be deleted U2=U0?U1; and deleting each of the file included in U2 from the edge node.

Abstract: An influential persons identification system and method for identifying a set of influential persons (or influencers) in a social network (such as an online social network). The influential persons set is generated such that by sending a message to the set the message will be propagated through the network at the greatest speed and coverage. A ranking of users is generated, and a pruning process is performed starting with the top-ranked user and working down the list. For each user on the list, the user is identified as an influencer and then the user and each of his friends are deleted from the social network users list. Next, the same process is performed for the second-ranked user, the third-ranked user, and so forth. The process terminates when the list of users of the social network is exhausted or the desired number of influencers on the influential person set is reached.

Abstract: Techniques for providing a visualization of an interactive and scalable treemap are described. A service provider hosts large-scale hierarchical data and supports online users who desire to visualize the large-scale hierarchical data in a treemap format on their computing devices. The user experience may be enhanced by providing a user interface for visualization of the interactive and scalable treemap. The visualization enables navigation and customization of data in the interactive and scalable treemap. The user experience is further enhanced by illustrating attributes are distinct by displaying a color or a pattern selected for a background or a bar of polygon. The user experience is further enhanced by providing the interactive and scalable treemap to the user on a website or on servers operated by a service or another third party service.

Abstract: A method for categorizing online user behavior data, including creating a target set of users based on an advertiser query, identifying two or more users in the target set having one or more first similar behavior attributes using a Minhash algorithm; and modifying the target set according to the two or more identified users.

Abstract: Embodiments of the invention relate to improvements to the support vector machine (SVM) classification model. When text data is significantly unbalanced (i.e., positive and negative labeled data are in disproportion), the classification quality of standard SVM deteriorates. Embodiments of the invention are directed to a weighted proximal SVM (WPSVM) model that achieves substantially the same accuracy as the traditional SVM model while requiring significantly less computational time. A weighted proximal SVM (WPSVM) model in accordance with embodiments of the invention may include a weight for each training error and a method for estimating the weights, which automatically solves the unbalanced data problem.

Abstract: A system, method, computer-readable media, and related techniques are disclosed for predicting demographic information of a user. A social link network is created and a search request for demographic information related to a first user within the social link network is received. The requested demographic information based on the demographic information of other users connected to the first user within the social link network is provided.

Abstract: A social network visualization and mining system that includes a visualization application for mining social networks of users in an online social network. This visualization can be used to mine the social network for additional information and intelligence. The social network is displaying in graphical form, such as a node-link graph, with a center node representing the social network of a user being examined, and secondary nodes represent the primary user's friends. Lines represent links between the primary user and his friends, while various visualization features such as line thickness, line color, and text size are used to easily identify the type of relationship between users. The system also includes a topics visualization module, which builds and displays a social network based on a certain topic or keyword that is entered by the application user. A demographic prediction module examines a user's social network to predict demographics of users.

Abstract: An influential persons identification system and method for identifying a set of influential persons (or influencers) in a social network (such as an online social network). The influential persons set is generated such that by sending a message to the set the message will be propagated through the network at the greatest speed and coverage. A ranking of users is generated, and a pruning process is performed starting with the top-ranked user and working down the list. For each user on the list, the user is identified as an influencer and then the user and each of his friends are deleted from the social network users list. Next, the same process is performed for the second-ranked user, the third-ranked user, and so forth. The process terminates when the list of users of the social network is exhausted or the desired number of influencers on the influential person set is reached.

Abstract: Embodiments of the invention relate to improvements to the support vector machine (SVM) classification model. When text data is significantly unbalanced (i.e., positive and negative labeled data are in disproportion), the classification quality of standard SVM deteriorates. Embodiments of the invention are directed to a weighted proximal SVM (WPSVM) model that achieves substantially the same accuracy as the traditional SVM model while requiring significantly less computational time. A weighted proximal SVM (WPSVM) model in accordance with embodiments of the invention may include a weight for each training error and a method for estimating the weights, which automatically solves the unbalanced data problem.