Abstract: The invention relates to a method for setting and operating redundant paths in a quantum communication network, wherein a transmitter implements simultaneous transmission of signals on a working path and protection paths. The signal transmitted on the working path is a primary signal, and the signals transmitted on the protection paths are follow-up signals. In a case that the working path is normal, the transmitter forwards the primary signal on the working path level by level, to implement long distance transmission of a quantum signal. In a case that the working path fails, a proxy working path is selected from the remaining protection paths with the highest priority, and the transmission of information is eventually completed on the proxy working path. It can be prevented that unknown quantum information is damaged and becomes unrecoverable during transmission, thereby greatly improving the security, stability, and reliability of information transmission during quantum communication.

Abstract: Methods of inhibiting the replication of influenza viruses in a biological sample or patient, of reducing the amount of influenza viruses in a biological sample or patient, and of treating influenza in a patient, comprises administering to said biological sample or patient an effective amount of a compound represented by Structural Formula (I): or a pharmaceutically acceptable salt thereof, wherein the values of Structural Formula (IA) are as described herein. A compound is represented by Structural Formula (IA) or a pharmaceutically acceptable salt thereof, wherein the values of Structural Formula (IA) are as described herein. A pharmaceutical composition comprises an effective amount of such a compound or pharmaceutically acceptable salt thereof, and a pharmaceutically acceptable carrier, adjuvant or vehicle.

Abstract: The present disclosure provides use of a timosaponin enzymatically transformed product in preparation of drugs for inhibiting skin superficial fungi. In the use provided in the present disclosure, the timosaponin enzymatically transformed product is prepared by enzymatically transforming rhizoma anemarrhenae extract with ?-glucosidase or a compound enzyme of xylanase and cellulose after purification. In the present disclosure, as an active pharmaceutical ingredient for inhibiting skin superficial fungi, the timosaponin enzymatically transformed product has the minimum inhibitory concentration of 4 mg/L against fungi, which is obviously superior to total timosaponin in the bacteriostatic capability, and has a certain application prospect in the aspect of treating skin superficial mycoses.

Abstract: A computer-implemented method for clinical decision support is provided according to an embodiment of the present disclosure. In the method, patient information can be obtained that comprises at least one clinical condition. A graph can be searched for at least one rule matching the at least one clinical condition. The graph represents a plurality of rule sets. The rule set comprises one or more rule. The rule can be indicated with a path comprising at least one first node and a second node. The first node can indicate a clinical condition, and the second node can indicate a clinical conclusion. Then, a clinical conclusion can be determined based on the at least one path in response that the at least one path matching the at least one clinical condition is searched out.

Abstract: The methods, systems, and computer program products described herein provide ways to generate an informative training corpus of samples for use in machine training a high-quality sentiment analysis computer model. In some aspects, a method is disclosed including receiving a plurality of training samples, extracting semantic and sentiment elements of one or more of the training samples, generalizing the semantic and sentiment elements of the one or more of the training samples, generating an informative ranking score for one or more of the training samples based on the generalized semantic and sentiment elements, selecting informative training samples from the plurality of training samples based at least in part on the generated informative ranking scores, and adding the selected informative training samples to an informative training corpus.

Abstract: A motion behavior pattern classification method, system and device relating to the human motion recognition field. The method includes: S1, determining a candidate motion behavior pattern which includes a motion behavior pattern to be classified; S2, acquiring time series of behavior data of the candidate motion behavior pattern through a motion control sensor; S3, establishing an LSTM motion behavior pattern classification model through the time series; S4, predicting the motion behavior pattern to be classified through the LSTM motion pattern classification model, comparing the prediction result obtained using the sequence within the T time with the prediction result obtained using the sequence within the T+?t time using the iterative process to obtain the final prediction result, wherein T1?T?T2, T1>0, T2>T1, and the incremental step is set to be ?t, ?t>0. The technical solution of the present invention may improve accuracy while reducing the latency of the motion behavior pattern classification.

Abstract: This invention provides a multilayer dissolvable solid article, which comprises two or more flexible, dissolvable, porous sheets. Each of such two or more sheets is characterized by a Percent Open Cell Content of from about 80% to 100% and an Overall Average Pore Size of from about 100 ?m to about 2000 ?m and comprises a water-soluble polymer. At least two adjacent sheets in such dissolvable solid article are characterized by an Adhesion Score (AdS) of no less than 1, while the contacting surfaces of said at least two adjacent sheets are essentially free of adhesives. Preferably, the multilayer dissolvable solid article is essentially free of adhesives.

Abstract: A method to report a phantom object for a structure in a power-and-ground (PG) router is disclosed. The method includes generating the structure of a PG network based on a spec received as input, identifying a violation of a design rule for the structure, and changing the structure to remove the violation of the design rule. The method further includes generating a report of the violation and the changing, generating a phantom object based on the changing, and outputting the report and the phantom object.

Abstract: A wound treatment recommendation method includes: storing a database; receiving a wound characterization record; generating a current data sequence according to the wound observation data in the wound characterization record; calculating similarity parameters of the current data sequence to each of case data sequences; regarding one of the similarity parameters with a highest restoration parameters and under a similarity threshold as the best case; selecting the questions used in the best case, excluding a plurality of existed questions in a questionnaire record, so as to establish a suggested questionnaire, and obtaining a plurality of answers of the suggested questionnaire; including all multiple reference cases within a specific range of values in each of the answers; and selecting multiple treatment cases including a nice recovery record from a plurality of treatment groups as at least one recommended treatment.

Abstract: Methods and systems for using machine learning to determine electronic document similarity include extracting entities and corresponding relationships from each of two electronic documents of a corpus of electronic documents based on word embedding, computing an entity distance between the extracted entities and a relationship distance between the extracted relationships based on knowledge graph embedding, combining the entity and relationship distances to generate a similarity score between the electronic documents, and implementing the similarity score to perform a task associated with the electronic documents.

Abstract: The present disclosure discloses a pH-sensitive starch-based microcapsule encapsulating a fat-soluble substance and a preparation method thereof, and belongs to the field of preparation of starch-based hydrogel microcapsules. The method of the present disclosure comprises performing acid hydrolysis on starch to obtain acid-hydrolyzed carboxymethyl starch, mixing the acid-hydrolyzed carboxymethyl starch with xanthan gum to obtain a compounded solution of starch and colloid, adding an emulsifier and the fat-soluble substance, emulsifying to obtain an emulsion, and drying to obtain the microcapsule.

Abstract: The disclosure provides a method for data instance processing. The method includes obtaining a set of data instances collected from a plurality of organizations. Each of the data instances includes at least one record formed in an organization that stores values of a plurality of attributes of the data instance. The method also includes dividing the set of data instances into groups, wherein data instances with conflicting values for the same attribute are divided into different groups. The method further includes subdividing data instances in each of the groups into clusters.

Abstract: Methods, systems, and computer program products are provided for language entity identification. In one embodiment, a computer-implemented method is disclosed. In the method, respective pinyin codes may be determined for respective Chinese characters comprised in a string that is to be processed. Then, respective pinyin features may be generated from the respective pinyin codes. Next, a candidate language entity may be identified from the string based on the respective pinyin features and a mapping describing an association between pinyin features and language entity. In other embodiments, a computer-implemented system and a computer program product for security management are disclosed.

Abstract: A method is provided for data matching between a set of source data structures and a set of target data structures. The method includes obtaining, using a processor device configured to perform machine learning, source to target matching results with matching scores, based on the sets of source and target data structures. The method further includes calculating, by the processor device, context information for data structure pairs based on a structure similarity and an ontology similarity between constituent data structures thereof. Each of data structure pairs include as the constituent data structures a respective source data structure and a respective target data structure from the sets of source and target data structures. The method also includes updating, by the processor device, the matching scores based on the context information. The method additionally includes controlling, by the processor device, a hardware device responsive to at least one updated matching score.

Abstract: A positioning guidance method for tooth brackets is provided. The positioning guidance method includes: obtaining, via an image capturing unit, an oral image; obtaining, via a processor, a position of a candidate tooth according to the contour of a plurality of teeth in the oral image; obtaining, via the processor, a bracket setting position corresponding to the candidate tooth by accessing dental model information from a storage device according to the position of the candidate tooth; obtaining, via the processor, a bracket image corresponding to a bracket from the oral image; and displaying, via the processor, guidance indication on a display unit according to a bracket position corresponding to the bracket image and the bracket setting position.

Abstract: Techniques are described that facilitate automatically providing entities with rephrased versions of standard answers. In one embodiment, a computer-implemented is provided that comprises determining, by a device operatively coupled to a processor, a talking style of a plurality of talking styles that an entity is associated with based on reception of natural language input from the entity proposing a question related to a defined topic. The method further comprises selecting, by the device based on the talking style, an answer rephrasing model from a plurality of answer rephrasing models respectively configured to generate different rephrased versions of a standard answer to the question, and employing, by the device, the answer rephrasing model to generate a rephrased version of the standard that corresponds to the talking style.

Abstract: A medical image comparison method is firstly to obtain plural images of the same body at different time points. Then, obtain a first feature point group by detecting feature points in the first image captured at a first time point, and a second feature point group by identifying feature points in the second image captured at a second time point. An overlapping image information is generated by aligning the second image with the first image according to the first and second feature point groups. Then, window areas corresponding to a first matching image and a second matching image of the overlapping image information are extracted one by one by sliding a window mask, and an image difference ratio for each of the window areas is calculated. In addition, a medical image comparison system is also provided.

Abstract: Techniques are described that facilitate automatically providing entities with rephrased versions of standard answers. In one embodiment, a computer-implemented is provided that comprises determining, by a device operatively coupled to a processor, a talking style of a plurality of talking styles that an entity is associated with based on reception of natural language input from the entity proposing a question related to a defined topic. The method further comprises selecting, by the device based on the talking style, an answer rephrasing model from a plurality of answer rephrasing models respectively configured to generate different rephrased versions of a standard answer to the question, and employing, by the device, the answer rephrasing model to generate a rephrased version of the standard that corresponds to the talking style.

Abstract: Embodiments of the invention provide a computer-implemented method, computing system and computer program product for analyzing a message in a social network. The method comprises identifying an entity from the message; detecting historical popularity of the entity in a social network; identifying a topic from the message; detecting historical popularity of the topic in the social network; and generating an entity-topic correlation factor for the entity and the topic based on the historical popularity of the entity and the historical popularity of the topic. Results obtained with embodiments of the invention may be provided to popularity prediction tools for improving popularity prediction of messages in social networks.