Abstract: A benzimidazole heteroatom-containing spiro compound and a medicinal use thereof are provided. Activity test results show that the benzimidazole heteroatom-containing spiro compound provided by the present disclosure has a significant antiproliferative activity for human liver tumor cells HepG2, human colon cancer cells HCT116, and/or human gastric adenocarcinoma cells AGS, and most of the compounds involved in the present disclosure exhibit a stronger antiproliferative activity than cisplatin and/or Nutlin-3a. Therefore, the benzimidazole heteroatom-containing spiro compound provided by the present disclosure has a prospect of being developed into an antitumor drug, such as for liver cancer, colon cancer, or gastric cancer.

Abstract: The USB HUB chip comprises at least a first USB transceiver, a second USB transceiver, a data bit insertion unit, a high-speed routing module and a re-synchronization unit before transmitting. Before a serial data valid signal is asserted, inserted data is inserted into serial data and then transmitted to the high-speed routing module, and the data and a clock are re-synchronized before transmitting to complete internal data transmission. According to the invention, a 480 MHz clock does not need to be synchronously transmitted with the serial data, high-frequency radiation is reduced, time sequence mismatching between the serial data and a global clock does not need to be considered, the difficulty of wiring and layout design is reduced, valid serial data bits do not need to be wasted for clock synchronization, internal delay of the HUB is reduced, long-distance wiring or expansion of more USB ports is facilitated.

Abstract: A benzimidazole heteroatom-containing spiro compound and a medicinal use thereof are provided. Activity test results show that the benzimidazole heteroatom-containing spiro compound provided by the present disclosure has a significant antiproliferative activity for human liver tumor cells HepG2, human colon cancer cells HCT116, and/or human gastric adenocarcinoma cells AGS, and most of the compounds involved in the present disclosure exhibit a stronger antiproliferative activity than cisplatin and/or Nutlin-3a. Therefore, the benzimidazole heteroatom-containing spiro compound provided by the present disclosure has a prospect of being developed into an antitumor drug, such as for liver cancer, colon cancer, or gastric cancer.

Abstract: The present teaching relates to a fraud detecting system and method for providing protection against fraudulent advertisement requests. Upon receiving a request for an advertisement, the system extracts an identifier, associated with a source from which the request originates, included in the request. The system determines whether the extracted identifier is included in a list of designated identifiers, and when the identifier is included in the list, the system denies the request for the advertisement. When the identifier is not included in the list of designated identifiers, the system provides the advertisement in response to the request, and extracts a set of features from the request and other requests that originate from the source to determine whether the identifier associated with the source is to be included in the list of designated identifiers based on the set of features in accordance with one or more models.

Abstract: The present teaching relates to a fraud detecting system and method for providing protection against fraudulent advertisement requests. Upon receiving a request for an advertisement, the system extracts an identifier, associated with a source from which the request originates, included in the request. The system determines whether the extracted identifier is included in a list of designated identifiers, and when the identifier is included in the list, the system denies the request for the advertisement. When the identifier is not included in the list of designated identifiers, the system provides the advertisement in response to the request, and extracts a set of features from the request and other requests that originate from the source to determine whether the identifier associated with the source is to be included in the list of designated identifiers based on the set of features in accordance with one or more models.

Abstract: A petroleum residue stream is heated and reacted with an oxygen stream and a carbon dioxide stream in a gasification unit to produce syngas. At least a portion of the carbon monoxide is converted into carbon dioxide to produce shifted syngas. At least a portion of the shifted syngas is separated to produce a syngas feed stream. At least a portion of the syngas feed stream is converted into methanol. At least a portion of the methanol is converted into one or more alkenes (olefins). At least a portion of the methanol is reacted with carbon monoxide to produce acetic acid. Carbon dioxide produced in the process can be recycled to the gasification unit to facilitate the production of the syngas.

Abstract: A petroleum residue stream is heated and reacted with an oxygen stream and a carbon dioxide stream in a gasification unit to produce syngas. At least a portion of the carbon monoxide is converted into carbon dioxide to produce shifted syngas. At least a portion of the shifted syngas is separated to produce a syngas feed stream. At least a portion of the syngas feed stream is converted into methanol. At least a portion of the methanol is converted into one or more alkenes (olefins). At least a portion of the methanol is reacted with carbon monoxide to produce acetic acid. Carbon dioxide produced in the process can be recycled to the gasification unit to facilitate the production of the syngas.

Abstract: A petroleum residue stream is heated and reacted with an oxygen stream and a carbon dioxide stream in a gasification unit to produce syngas. At least a portion of the carbon monoxide is converted into carbon dioxide to produce shifted syngas. At least a portion of the shifted syngas is separated to produce a syngas feed stream. At least a portion of the syngas feed stream is converted into methanol. At least a portion of the methanol is converted into one or more alkenes (olefins). At least a portion of the methanol is reacted with carbon monoxide to produce acetic acid. Carbon dioxide produced in the process can be recycled to the gasification unit to facilitate the production of the syngas.

Abstract: The present teaching generally relates to detecting abnormal user activity associated with an entity. In a non-limiting embodiment, baseline distribution data representing a baseline distribution characterizing normal user activities for an entity may be obtained. Information related to online user activities with respect to the entity may be received, distribution data representation a dynamic distribution may be determined based, at least in part, on the information. One or more measures characterizing a difference between the baseline distribution and the dynamic distribution may be computed, and in real-time it may be assessed whether the information indicates abnormal user activity. If the first information indicates abnormal user activity, then output data including the distribution data and the one or more measures may be generated.

Abstract: The present teaching generally relates to detecting fraudulent networks. First data associated with a plurality of entities may be obtained, and a representation characterizing similarities among the plurality may be generated. Based on the representation, at least one entity cluster may be identified as corresponding to a candidate fraud network. A score associated with each of the at least one entity cluster may be determined, where the score indicates a likelihood that a corresponding entity cluster represents a fraud network, and at least some of the at least one entity cluster may be identified as a fraud network based on the score.

Abstract: Services often utilize scoring techniques to distinguish between user requests that comply with a usage policy of the service from those that represent a misuse of the service. Users who endeavor to misuse the service engages in probing by submitting a variety of requests to the service until one such request exhibiting a score that is within a score threshold, and then patterning further requests that misuse the service upon the successful request. Instead, when a first request from a user is identified that violates the score threshold, a score offset is selected. The scores of second and future requests by the user are adjusted by the score offset, indicating increased suspicion of the user's requests, while allowing legitimate requests that fulfill the score threshold by a larger margin. Additionally, absent further misuse, the score offset decays over time to restore trust incrementally in the legitimacy of the user's requests.

Abstract: The present teaching generally relates to detecting abnormal user activity associated with an entity. In a non-limiting embodiment, baseline distribution data representing a baseline distribution characterizing normal user activities for an entity may be obtained. Information related to online user activities with respect to the entity may be received, distribution data representation a dynamic distribution may be determined based, at least in part, on the information. One or more measures characterizing a difference between the baseline distribution and the dynamic distribution may be computed, and in real-time it may be assessed whether the information indicates abnormal user activity. If the first information indicates abnormal user activity, then output data including the distribution data and the one or more measures may be generated.

Abstract: The present teaching generally relates to detecting abnormal user activity associated with an entity. In a non-limiting embodiment, baseline distribution data representing a baseline distribution characterizing normal user activities for an entity may be obtained. Information related to online user activities with respect to the entity may be received, distribution data representation a dynamic distribution may be determined based, at least in part, on the information. One or more measures characterizing a difference between the baseline distribution and the dynamic distribution may be computed, and in real-time it may be assessed whether the information indicates abnormal user activity. If the first information indicates abnormal user activity, then output data including the distribution data and the one or more measures may be generated.

Abstract: The present teaching relates to a fraud detecting system and method for providing protection against fraudulent advertisement requests. Upon receiving a request for an advertisement, the system extracts an identifier, associated with a source from which the request originates, included in the request. The system determines whether the extracted identifier is included in a list of designated identifiers, and when the identifier is included in the list, the system denies the request for the advertisement. When the identifier is not included in the list of designated identifiers, the system provides the advertisement in response to the request, and extracts a set of features from the request and other requests that originate from the source to determine whether the identifier associated with the source is to be included in the list of designated identifiers based on the set of features in accordance with one or more models.

Abstract: Services often utilize scoring techniques to distinguish between user requests that comply with a usage policy of the service from those that represent a misuse of the service. Users who endeavor to misuse the service engages in probing by submitting a variety of requests to the service until one such request exhibiting a score that is within a score threshold, and then patterning further requests that misuse the service upon the successful request. Instead, when a first request from a user is identified that violates the score threshold, a score offset is selected. The scores of second and future requests by the user are adjusted by the score offset, indicating increased suspicion of the user's requests, while allowing legitimate requests that fulfill the score threshold by a larger margin. Additionally, absent further misuse, the score offset decays over time to restore trust incrementally in the legitimacy of the user's requests.

Abstract: The present teaching generally relates to detecting fraudulent networks. First data associated with a plurality of entities may be obtained, and a representation characterizing similarities among the plurality may be generated. Based on the representation, at least one entity cluster may be identified as corresponding to a candidate fraud network. A score associated with each of the at least one entity cluster may be determined, where the score indicates a likelihood that a corresponding entity cluster represents a fraud network, and at least some of the at least one entity cluster may be identified as a fraud network based on the score.

Abstract: The present teaching generally relates to detecting abnormal user activity associated with an entity. In a non-limiting embodiment, baseline distribution data representing a baseline distribution characterizing normal user activities for an entity may be obtained. Information related to online user activities with respect to the entity may be received, distribution data representation a dynamic distribution may be determined based, at least in part, on the information. One or more measures characterizing a difference between the baseline distribution and the dynamic distribution may be computed, and in real-time it may be assessed whether the information indicates abnormal user activity. If the first information indicates abnormal user activity, then output data including the distribution data and the one or more measures may be generated.

Abstract: The present invention provides a method and a system for providing targeted advertisements to a user. The method includes determining a set of signals corresponding to at least one online activity associated with the user and then analyzing the set of signals to identify one or more user interests. The set of signals includes at least one of a share signal, a view signal, a search signal, and a click signal. Further, the method includes tagging the user with at least one ad exchange cookie based on the identified user interests and an available advertisement pool. Lastly, the method includes displaying, by an advertisement network, an advertisement to the user based on the ad exchange cookie.