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: The present invention relates to a drug-eluting nanoengineered medical implant/contact device. The device comprises a nanocomposite and a drug, wherein the nanocomposite comprises hydrophilic polymer domains, hydrophobic polymer domains, water pores, and boundary charged double layers; wherein when the drug is hydrophilic, at least 80% of the drug partitions in the boundary charged double layers formed at the boundary interface of the hydrophilic polymer domains and water pores, and when the drug is hydrophobic, at least 80% of the dmg partitions in the boundary charged double layers formed at the boundary interface of the hydrophobic polymer domains and water pores. The device is configured to sustain the release of the drug at high precision and long duration.

Abstract: Methods and apparatus for generating medical records from a doctor-patient dialogue are provided. A main content portion of a written doctor-patient conversation is identified. The main content portion of the conversation is extracted from the conversation. The main content of the conversation is divided into sections according to a pre-defined set of sections, and, based on the sections and their respective content, a medical record is generated according to a pre-defined template. The pre-defined template is one of a hard medical record format or a soft medical record format.

Abstract: A processor obtains a pair including a question and an answer in natural language; determines at least one entity in the question and an entity type of each of the at least one entity consistent with the schema of a knowledge graph (KG); identifies a subset of candidate query templates based on the entity type of each of the at least one entity, wherein the candidate query templates are generated based on the schema of the KG; composes a set of queries by populating the at least one entity into each of the subset of candidate query templates; executes the set of queries on the KG to generate respective answers; identifies a first answer from the respective answers that is matching with the answer in the pair; and determines a candidate query template, from the subset of candidate query templates, corresponding to the first answer as a query template.

Abstract: Embodiments for optimizing data storage instances in a cloud environment in which metadata is stored and accessed separately from content data in multiple different instances of data storage units. A metadata and content data storage instance optimization process determines the status of different instances of virtual storage resources for both metadata and content data. Full instances are powered down when they are not needed, empty instances are deleted, and data of partially full instances is moved to other appropriate instances to create empty instances that can be deleted. The data storage instance optimization process is provided as part of a data protection search process that provides an execution environment and user interface to the optimization process.

Abstract: The present disclosure provides anti-?4?7 antibodies that bind human ?4?7, their methods of making, and their uses to treat patients with HIV infection.

Abstract: An optical sensing circuit and an optical sensing method are provided. The optical sensing circuit includes a first photosensitive unit, a second photosensitive unit, an arithmetic unit, and a control unit. The first photosensitive unit and the second photosensitive unit provide a sensing current during a light sensing period. The arithmetic unit generates a combined current according to the sensing current during the light sensing period. The control unit generates a first sensed value and a second sensed value according to the combined current.

Abstract: A computer-implemented method is presented for automatically generating alerting rules. The method includes identifying, via offline analytics, abnormal patterns and normal patterns from history logs based on machine learning, statistical analysis and deep learning, the history logs stored in a history log database, automatically generating the alerting rules based on the identified abnormal and normal patterns, and transmitting the alerting rules to an alerting engine for evaluation. The method further includes receiving a plurality of online log messages from a plurality of computing devices connected to a network, augmenting the plurality of online log messages, and extracting information from the plurality of augmented online log messages to be provided to the alerting engine, the alerting engine configured to approve and enforce the alerting rules automatically generated by the offline analytics processing.

Abstract: Methods and systems for deploying images to computing systems include predicting an environment for a plurality of processing nodes. Image deployment to the plurality of processing nodes is simulated to determine a subset of the plurality of processing nodes for deployment. One or more images is pre-loaded to the subset of the plurality of processing nodes in advance of a deployment time.

Abstract: Performing an operation comprising transforming an input dataset to a predefined format, extracting, from the transformed dataset, a plurality of features describing the transformed dataset, and generating, by a machine learning (ML) algorithm executing on a processor and based on an ML model, a plurality of rules for modifying the transformed dataset to conform with a first data model.

Abstract: Methods and systems for processing records include extracting feature vectors from words in an unstructured portion of a record. The feature vectors are weighted based similarity to a topic vector from a structured portion of the record associated with the unstructured portion. The weighted feature vectors are classified using a machine learning model to determine respective probability vectors that assign a probability to each of a set of possible relations for each feature vector. Relations between entities are determined within the record based on the probability vectors. An action is performed responsive to the determined relations.

Abstract: A dual-slope optical sensor is provided. Two terminals of a first charging switch are respectively connected to an optoelectronic component and a first terminal of a capacitor. Two terminals of a second charging switch are respectively connected to a second terminal of the capacitor and grounded. First terminals of third charging and discharging switches are respectively connected to the first and second terminals of the capacitor. First terminals of fourth charging and discharging switches are respectively coupled to first and second reference voltages. Two terminals of a first discharging switch are respectively connected to the optoelectronic component and the second terminal of the capacitor. A first input terminal of a comparator is connected to second terminals of the third charging switch and the fourth discharging switch. A second input terminal of the comparator is connected to second terminals of the fourth charging switch and the third discharging switch.

Abstract: The present invention relates to a delivery contact lens device for delivering cargo molecules. The device comprises cargo molecules and a nanocomposite comprising hydrophilic polymer domains, hydrophobic polymer domains, aqueous pores, and charged boundary double layers, wherein at least 80% of the cargo molecule partitions in the charged boundary double layers formed at the interface of (i) aqueous pores and (ii) either hydrophobic polymer domains or hydrophilic polymer domains, the charged boundary double layers have a surface charge density of 0.005 to 0.5 Coulomb/meter2, and the aqueous pores including the cargo molecules have a low ionic strength of 0.1 to 100 mM, and osmolarity of 200-300 mM. The device retains the cargo molecules within the contact lens in a storage mode under a low ionic strength condition and releases the cargo molecules immediately after being placed in a tear environment with a higher ionic strength.

Abstract: A system and method for attribute discovery for operation objects from operation data includes segmenting a name of each of a plurality of operation objects based on one or more special characters used in the name of each operation object. A similarity comparison of the operation objects is performed by extracting common subsequences from substrings in operation data in a same log as a target object, and a string similarity is computed of the extracted common subsequences. Numerical attributes are determined by calculating statistical metrics for fields in the log, and additional information of the operation objects is discovered based on the determined numerical attributes.

Abstract: The present invention relates to a delivery contact lens device for delivering cargo molecules. The device comprises cargo molecules and a nanocomposite comprising hydrophilic polymer domains, hydrophobic polymer domains, aqueous pores, and charged boundary double layers, wherein at least 80% of the cargo molecule partitions in the charged boundary double layers formed at the interface of (i) aqueous pores and (ii) either hydrophobic polymer domains or hydrophilic polymer domains, the charged boundary double layers have a surface charge density of 0.005 to 0.5 Coulomb/meter2, and the aqueous pores including the cargo molecules have a low ionic strength of 0.1 to 100 mM, and osmolarity of 200-300 mM.

Abstract: A method and system for relation discovery from operation data includes classifying categories of extracted entities from operation data into three or more classes identified in a knowledge base. A log affiliation of the extracted entities is determined, and relations of the extracted entities are identified according to a log affiliation. The identified relations information of the extracted entities is associated with operation objects of the operation data.

Abstract: A dual-slope optical sensor is provided. Two terminals of a first charging switch are respectively connected to an optoelectronic component and a first terminal of a capacitor. Two terminals of a second charging switch are respectively connected to a second terminal of the capacitor and grounded. First terminals of third charging and discharging switches are respectively connected to the first and second terminals of the capacitor. First terminals of fourth charging and discharging switches are respectively coupled to first and second reference voltages. Two terminals of a first discharging switch are respectively connected to the optoelectronic component and the second terminal of the capacitor. A first input terminal of a comparator is connected to second terminals of the third charging switch and the fourth discharging switch. A second input terminal of the comparator is connected to second terminals of the fourth charging switch and the third discharging switch.

Abstract: Embodiments facilitating performance anomaly detection are described. A computer-implemented method comprises: detecting, by a device operatively coupled to one or more processing units, based on monitoring data of a plurality of performance metrics of a monitored device, at least one trend within the monitoring data of the respective performance metrics; removing, by the device, the at least one trend from the monitoring data of the respective performance metrics to generate modified data of the respective performance metrics; and detecting, by the device, a performance anomaly based on the modified data of the respective performance metrics and a behavior clustering model comprising at least one steady state.

Abstract: Systems and methods for ticket classification and response include labeling tickets with a ticket classifier that assigns a ticket label and an associated confidence score to each ticket. Tickets are clustered according to semantic similarity to form ticket clusters. A template associated with each ticket cluster is determined. Templates and the respective ticket clusters are clustered according to semantic similarity to form one or more ticket super-clusters. Tickets that have below-threshold confidence scores are labeled according to the one or more ticket super-clusters. The tickets are automatically responded to.

Abstract: An optical sensor and a method having a high linearity digital controlling mechanism are provided. An optoelectronic component converts a light energy into a photocurrent. Then, the photocurrent flows to a current mirror and is amplified by a gain to form a charging current by the current mirror to charge a capacitor. A comparator compares a voltage of the capacitor with a reference voltage multiple times to generate a comparison signal. A counter determines a digital value capturing range according to the gain, and counts bit values that fall within the digital value capturing range from the comparison signal to output a counted signal. A noise cancellation processor reduces the digital value capturing range according to the gain, and removes one or more of the bit values that do not fall within the digital value capturing range from the counted signal to output a sensed signal.