Abstract: The system can include a set of joints, a controller, and a model engine; and can optionally include a support structure and an end effector. Joints can include: a motor, a transmission mechanism, an input sensor, and an output sensor. The system can enable articulation of the plurality of joints.

Abstract: Embodiments disclosed herein include an interposer. In an embodiment, the interposer comprises a substrate with a first surface and a second surface opposite from the first surface. In an embodiment, a via is provided through the substrate, where a portion of the via extends past the second surface. In an embodiment, a first layer is over the substrate, where the first layer is an electrically insulating material. In an embodiment, a second layer is over the first layer and over the portion of the via that extends past the second surface.

Abstract: A method for source attribution comprises receiving measurements of a chemical species at a spatially distributed sensor array for a given set of spatially positioned emission sources in a physical environment using a dispersion model. Based on the received measurements, a concentration field is mapped from the emission sources to the sensor array using a forward operator. For each emission source, a likelihood data set is evaluated at least by fitting an emission rate of the chemical species using a regression model based on the mapped concentration field and real-world, runtime measurements from the sensor array. A posterior data set is evaluated based at least on the evaluated likelihood data set and historical data for the physical environment. For each sensor of the sensor array, estimated emission rates and contribution rankings for emission sources are determined and output based on the evaluation of the posterior data set.

Abstract: A method for pollutant sensor placement is described. Data about environmental characteristics across a geographic region is received from a plurality of environmental sensors. The geographic region includes one or more pollutant sources that emit a pollutant. The received data is transformed from one or more of the plurality of environmental sensors into common data having a common grid across the geographic region. The geographic region is divided into a plurality of sub-regions based on the common data. Locations within the geographic region are determined for placement of pollutant sensors based on estimated dispersion of the pollutant through the plurality of sub-regions.

Abstract: The present disclosure includes methods of treating ocular inflammation or inflammatory ocular conditions, such as uveitis. More specifically the present disclosure relates to inhibiting or reducing the release of inflammatory mediators from inflammatory cells by inhibiting the mechanism associated with the release of inflammatory mediators from granules in inflammatory cells. In this regard, the present disclosure includes an intracellular signaling mechanism that illustrates several novel intracellular targets for pharmacological intervention in disorders involving secretion of inflammatory mediators from vesicles in inflammatory cells. Peptide fragments and variants thereof as disclosed in the present disclosure are useful in such methods.

Abstract: A system and method for filling containers with a precise amount of fluid is disclosed. The system and method use artificial neural network logic to sense conditions and to control the two-valve dispensing unit based on the sensed conditions to fill containers with a precise amount of fluid. Using neural network logic combined with sensors and controllers for equipment eliminates the significant human effort and human errors associated with manually filling containers with fluid. Furthermore, the neural network can log data quicker and with more accuracy than a human manually logging data. The system and method use a two-valve dispensing unit to precisely fill and to prevent and clear clogs caused by fluid solidifying within the dispensing unit.

Abstract: A system and method for filling containers with a precise amount of fluid is disclosed. The system and method use artificial neural network logic to sense conditions and to control the two-valve dispensing unit based on the sensed conditions to fill containers with a precise amount of fluid. Using neural network logic combined with sensors and controllers for equipment eliminates the significant human effort and human errors associated with manually filling containers with fluid. Furthermore, the neural network can log data quicker and with more accuracy than a human manually logging data. The system and method use a two-valve dispensing unit to precisely fill and to prevent and clear clogs caused by fluid solidifying within the dispensing unit.

Abstract: A system includes a processor and a memory coupled to the processor. The memory stores a database including a set of previous transactions and a set of business rules and instructions that, upon execution, cause the processor to receive a check image from a remote device, identify check information of the check image, and extract the check information from the check image. The instructions cause the processor to apply the set of business rules to the check information based on the remote device and validate the check information. The validation includes comparing the check information to the set of previous transactions, in response to the comparison identifying a duplicate transaction, determining the check image is fraudulent, and, in response to determining the check image is fraudulent, flagging the check image. The instructions cause the processor to transmit the check image and check information to the database for storage.

Abstract: A system includes at least one processor and a memory coupled to the at least one processor. The memory stores a database including previous transaction information and a set of business rules and instructions that, upon execution, cause the at least one processor to receive, from a transaction device, transaction information of a transaction and analyze the transaction information. The instructions cause the at least one processor to transmit the transaction information to a payment processing device to process the transaction information. The processing includes analyzing the transaction information based on the set of business rules, in response to the analyzing indicating the transaction is fraudulent, generating and adding a flag to the transaction information, and storing the transaction information in the database as previous transaction information.

Abstract: A stacked-chip assembly including a plurality of IC chips or die that are stacked, and electrically coupled by solder bonds. In accordance with some embodiments described further below, the solder bonds are to contact a back-side land that includes a diffusion barrier to reduce intermetallic formation and/or other solder-induced reliability issues. The back-side land may include an electrolytic nickel (Ni) barrier layer separating solder from a back-side redistribution layer trace. This electrolytic Ni may be of high purity, which at least in part, may enable the backside metallization stack to be of minimal thickness while still functioning as a diffusion barrier. In some embodiments, the back-side land composition and architecture is distinct from a front-side land composition and/or architecture.

Abstract: A system and method for automatic generating suggestions for personalized reactions. A suggestion generation module includes a plurality of collector modules, a credentials module, a suggestion analyzer module, a user interface module and a decision tree. The plurality of collector modules collect information accessible by the user and important to the user from other systems such as e-mail systems, SMS/MMS systems, micro blogging systems, social networks or other systems. The information from these collector modules is provided to the suggestion analyzer module. The suggestion analyzer module cooperates with the user interface module and the decision tree to generate suggested reactions or messages for the user to send. The suggested reactions or messages are presented by the user interface module to the user. The user interface module displays the original message, other information about the original message such as others' responses, and action buttons for sending, discarding the suggested message.

Abstract: A method may include receiving, by a computing device, a recovery message directed to a first account associated with a messaging service provider. The recovery message may include access information associated with a second account of an online service provider. In an embodiment, the method may include, in response to receiving a recovery message, determining whether one or more suspicious events involving the first account have occurred, in response to determining that one or more suspicious events have occurred, prompting a user to provide authentication information in order to access the recovery message, receiving one or more responses from a user, verifying the one or more responses, and in response to determining that each of the responses is correct, granting access, by the computing device, to the recovery message.

Abstract: A method includes receiving a plurality of trusted assets, generating a first signature set for a known software application, and generating a second signature set for a subject software application. Each trusted asset is associated with at least a threshold number of trusted authors. Each signature in the first signature set corresponds to a known asset that is associated with the known software application. Each signature in the second signature set corresponds to a subject asset that is associated with the subject software application. The method further includes generating first and second filtered signature set based on the first and second signature sets, respectively, by excluding signatures corresponding to the trusted assets. The method also includes generating a similarity rating for the subject application based on a comparison of the first filtered signature set and the second filtered signature set.

Abstract: A system and method for automatic generating suggestions for personalized reactions. A suggestion generation module includes a plurality of collector modules, a credentials module, a suggestion analyzer module, a user interface module and a decision tree. The plurality of collector modules collect information accessible by the user and important to the user from other systems such as e-mail systems, SMS/MMS systems, micro blogging systems, social networks or other systems. The information from these collector modules is provided to the suggestion analyzer module. The suggestion analyzer module cooperates with the user interface module and the decision tree to generate suggested reactions or messages for the user to send. The suggested reactions or messages are presented by the user interface module to the user. The user interface module displays the original message, other information about the original message such as others' responses, and action buttons for sending, discarding the suggested message.

Abstract: A method includes receiving a plurality of trusted assets, generating a first signature set for a known software application, and generating a second signature set for a subject software application. Each trusted asset is associated with at least a threshold number of trusted authors. Each signature in the first signature set corresponds to a known asset that is associated with the known software application. Each signature in the second signature set corresponds to a subject asset that is associated with the subject software application. The method further includes generating first and second filtered signature set based on the first and second signature sets, respectively, by excluding signatures corresponding to the trusted assets. The method also includes generating a similarity rating for the subject application based on a comparison of the first filtered signature set and the second filtered signature set.

Abstract: A system and method for automatic generating suggestions for personalized reactions or messages. A suggestion generation module includes a plurality of collector modules, a credentials module, a suggestion analyzer module, a user interface module and a decision tree. The plurality of collector modules are coupled to respective systems to collect information accessible by the user and important to the user from other systems such as e-mail systems, SMS/MMS systems, micro blogging systems, social networks or other systems. The information from these collector modules is provided to the suggestion analyzer module. The suggestion analyzer module cooperates with the user interface module and the decision tree to generate suggested reactions or messages for the user to send. The suggested reactions or messages are presented by the user interface module to the user.

Abstract: A system and method for automatic generating suggestions for personalized reactions or messages. A suggestion generation module includes a plurality of collector modules, a credentials module, a suggestion analyzer module, a user interface module and a decision tree. The plurality of collector modules are coupled to respective systems to collect information accessible by the user and important to the user from other systems such as e-mail systems, SMS/MMS systems, micro blogging systems, social networks or other systems. The information from these collector modules is provided to the suggestion analyzer module. The suggestion analyzer module cooperates with the user interface module and the decision tree to generate suggested reactions or messages for the user to send. The suggested reactions or messages are presented by the user interface module to the user.