Abstract: In an embodiment, a method comprises: obtaining input data including a plurality of parameters related to an energy system design; reducing the input data to a subset of the input data; in a first stage: feeding the subset of input data into a reduced version of a model for estimating an energy system configuration; estimating, using the reduced version of the model, a first energy system configuration and a lower bound solution for the first energy system configuration based on the subset of input data; and in a second stage following the first stage: feeding the input data and the lower bound solution into a full version of the model; and estimating, using the full version of the model, a second energy system configuration based on the input data and the lower bound solution.

Abstract: Disclosed herein are glass pharmaceutical vials having sidewalls of reduced thickness. In embodiments, the glass pharmaceutical vial may include a glass body comprising a sidewall enclosing an interior volume. An outer diameter D of the glass body is equal to a diameter d1 of a glass vial of size X as defined by ISO 8362-1, wherein X is one of 2R, 3R, 4R, 6R, 8R, 10R, 15R, 20R, 25R, 30R, 50R, and 100R as defined by ISO 8362-1. However, the sidewall of the glass pharmaceutical vial comprises an average wall thickness Ti that is less than or equal to 0.85*s1, wherein s1 is a wall thickness of the glass vial of size X as defined by ISO 8362-1 and X is one of 2R, 3R, 4R, 6R, 8R, 10R, 15R, 20R, 25R, 30R, 50R, and 100R as defined by ISO 8362-1.

Abstract: A rotor lock assembly for locking a rotor of a wind turbine. The rotor lock assembly has at least one relocatable rotor lock. The relocatable rotor lock has a housing, a bushing element, a pin shaft position within the bushing element, and a locking mechanism. The housing includes a mounting portion adapted for mounting to a bearing housing adjacent to a rotor lock plate of the rotor.

Abstract: Disclosed herein are glass pharmaceutical vials having sidewalls of reduced thickness. In embodiments, the glass pharmaceutical vial may include a glass body comprising a sidewall enclosing an interior volume. An outer diameter D of the glass body is equal to a diameter d1 of a glass vial of size X as defined by ISO 8362-1, wherein X is one of 2R, 3R, 4R, 6R, 8R, 10R, 15R, 20R, 25R, 30R, 50R, and 100R as defined by ISO 8362-1. However, the sidewall of the glass pharmaceutical vial comprises an average wall thickness Ti that is less than or equal to 0.85*s1, wherein s1 is a wall thickness of the glass vial of size X as defined by ISO 8362-1 and X is one of 2R, 3R, 4R, 6R, 8R, 10R, 15R, 20R, 25R, 30R, 50R, and 100R as defined by ISO 8362-1.

Abstract: Institutional sprinkler assemblies are provided that includes a sprinkler housing and protective cap arrangement to protect a thermally responsive shielding trigger. The sprinkler housing and trigger arrangement provide for an annular buffer to protect the trigger. The institutional sprinkler assemblies include configurations for installation in pendent and horizontal and orientations.

Abstract: A system for delivering content to a wireless handset is described. The system comprises a beacon and a wireless handset communicatively coupled to a network. The wireless handset receives a signal from the beacon. A user profile associated with the wireless handset comprises at least one user attribute. The system further comprises a content administration interface configured to store an association between a content item and a user attribute. The system further comprises a content delivery module that retrieves content item(s) associated with a user attribute. The content delivery module transmits at least one retrieved content item to the wireless handset via the network. A handset content interface displays the at least one transmitted content item on the wireless handset.

Abstract: A computer implemented method for identifying substitute products for a target product via a distributor's product management computer system, the method includes: receiving, at a distributor's product management computer system, data representing a target product of interest to a user of the system, wherein the target product is described by a plurality of variable-value attributes associated therewith; processing the received data through a machine-learning-produced algorithm and thereby generating data representing a first set of substitute product candidates for the target product and wherein each substitute product candidate has a corresponding match-score that represents a degree of determined similarity between that substitute product candidate and the target product; transforming the generated data that represents the first set of substitute product candidates into data representing a refined set of substitute product candidates by processing the generated data utilizing a constraint-based algorithm;

Abstract: A product management computer system that can include one or more processors, and a computer-readable medium comprising instructions stored therein, which when executed by the processors, can cause the processors to: receive data representing a target product of interest to a user of the system, wherein the target product is described by a plurality of variable-value attributes associated; process the received data through a machine-learning-produced algorithm and generating data representing a first set of substitute product candidates for the target product and wherein each substitute product candidate has a corresponding match-score that represents a degree of determined similarity between that substitute product candidate and the target product; transform the generated data that represents the first set of substitute product candidates into data representing a refined set of substitute product candidates by processing the generated data utilizing a constraint-based algorithm; and output data representing

Abstract: This invention relates generally to compositions for making and administering anellovectors and uses thereof.

Abstract: Methods and systems are provided for dynamic interaction with an augmented reality environment. In some embodiments, the systems and methods are directed at dynamically interacting with machinery within the augmented reality environment via an augmented reality device.

Abstract: Methods and systems are provided for dynamic interaction with an augmented reality environment. In some embodiments, the systems and methods are directed at dynamically interacting with machinery within the augmented reality environment via an augmented reality device.

Abstract: An implant system for implantation at a joint. The implant system includes an implant device with a body portion having first and second ends, and a first elongate member, extending from the first or second end of the body portion. The implant system has a corresponding fixation device with at least one latching element. The first elongate member has at least one cooperating element capable of cooperating with the at least one latching element of the fixation device in use.

Abstract: Methods and systems are provided for dynamic interaction with an augmented reality environment. In some embodiments, the systems and methods are directed at dynamically interacting with machinery within the augmented reality environment via an augmented reality device.

Abstract: Systems are provided for an imaging system isolation enclosure for use with a medical imaging system includes a pathogen impermeable enclosure for use with one or more of radiation imaging systems and magnetic resonance imaging systems, the pathogen impermeable enclosure is configured to provide a barrier between the imaging system and at least one of a patient user and an imaging room, and an air filtration system including an inlet to supply a cooling air flow to an interior of the imaging system isolation enclosure and an outlet to output exhaust air from an interior of the imaging system isolation enclosure.

Abstract: A product management computer system that can include one or more processors, and a computer-readable medium comprising instructions stored therein, which when executed by the processors, can cause the processors to: receive data representing a target product of interest to a user of the system, wherein the target product is described by a plurality of variable-value attributes associated; process the received data through a machine-learning-produced algorithm and generating data representing a first set of substitute product candidates for the target product and wherein each substitute product candidate has a corresponding match-score that represents a degree of determined similarity between that substitute product candidate and the target product; transform the generated data that represents the first set of substitute product candidates into data representing a refined set of substitute product candidates by processing the generated data utilizing a constraint-based algorithm; and output data representing

Abstract: Methods and systems are provided for dynamic interaction with an augmented reality environment. In some embodiments, the systems and methods are directed at dynamically interacting with machinery within the augmented reality environment via an augmented reality device.

Abstract: An internal network can include a plurality of linked internal nodes, each internal node being configured to communicate with other internal nodes or with one or more external servers over an external network. The internal network can analyze the configuration of the internal nodes and the network traffic between internal nodes of the internal network and external servers. Based on the analysis, a network vulnerability score measuring the vulnerability of the internal network to attack can be determined. If the vulnerability score is below a threshold, the internal network can be isolated from the external network, for example by preventing internal nodes from communicating with or over the external network.

Abstract: The present disclosure generally relates to writing data to streams. A host device can instruct a data storage device to operate in implied streams mode such that the host device does not need to tell the data storage device the specific stream in which to write data. The data storage device would maintain a list of open append points of specific streams. Upon receiving a write command, the data storage device determines whether the write command is for an already open stream, and if so, write to the specific stream. If not, then the data storage device opens a new stream or write the data to an overflow stream.

Abstract: A mobility augmentation system monitors data representative of a user's motor intent and augments the user's mobility based on the monitored motor intent data. A machine-learned model is trained to identify an intended movement based on the monitored motor intent data. The machine-learned model may be trained based on generalized or specific motor intent data (e.g., user-specific motor intent data). A machine-learned model initially trained on generalized motor intent data may be re-trained on user-specific motor intent data such that the machine-learned model is optimized to the movements of the user. The system uses the machine-learned model to identify a difference between the user's monitored movement and target movement signals. Based on the identified difference, the system determines actuation signals to augment the user's movement. The actuation signals determined can be an adjustment to a currently applied actuation such that the system optimizes the actuation strategy during application.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicted brain data of a patient. One of the methods includes receiving montage configuration data for a specified montage; receiving raw EEG data captured using the specified montage from a brain of a particular subject; generating, using the montage configuration data and the raw EEG data, EEG connectivity data for the specified montage; using a generative neural network to map the EEG connectivity data to predicted fMRI connectivity data, the generative neural network having been trained using training EEG-fMRI connectivity data pairs, each pair comprising EEG connectivity data of a subject and fMRI connectivity data of the same subject; and taking an action based on the predicted fMRI connectivity data.