Abstract: An online system provides users with a vehicle selection interface to select vehicles available on the online system. The vehicle selection interface may include vehicle user interface elements that display information about individual vehicles available on the online system. The vehicle selection interface may display a set of vehicle user interface elements for the user to select. The vehicle selection interface may further include a vehicle availability element. A vehicle availability element describes availability of vehicles in a set of categories. For example, the vehicle availability element may describe the availability of vehicles within different price ranges. The vehicle availability element may indicate trends in vehicle availability on the online system within each category of vehicle. For example, the vehicle availability element may indicate that vehicle availability in a category is likely to decrease based on predictions of increased user selections of vehicles in that category.

Abstract: The present invention generally relates to a process for preparing polymeric-based nanoparticle of RPD coated with Tf and RVG comprises dissolving 1-12 wt % of RPD and 8-96 wt % of lipid in isopropyl alcohol (IPA) and heating the solution to 70° C. to create the organic phase; adding prepared organic solution to the 0-2 wt % of aqueous surfactant solution using a syringe at 70° C. temperature; swirling the obtained solution at 1000 rpm on a high speed homogenizer for 15 minutes after the solvent is evaporated using a magnetic stirrer to create the SLNs dispersion; and adding 45-100 wt % of Ethyl-3-(3-dimethylaminopropyl)carbodiimide (EDC) and 45-100 wt % of N-Hydroxysulfosuccinimide (NHS), which included activating the carboxylic acid terminal groups and conjugating Tf and RVG to RPD's PLGA nanoparticles.

Abstract: Aspects of the technology provide solutions for determining a time period (“epoch”) required to monitor or analyze a tenant network. Some implementations of the technology include a process for making automatic epoch determinations, which includes steps for identifying one or more network parameters for a tenant network, analyzing the tenant network using the network parameters to discover one or more configuration settings of the tenant network, and determining a first epoch for the tenant network, the first epoch corresponding with a period of time to complete analysis of the tenant network using the network parameters. In some aspects, the process can further include steps for generating a tenant profile for the tenant network, the tenant profile based on the network parameters, the first epoch, and the one or more configuration settings of the tenant network. Systems and machine-readable media are also provided.

Abstract: The present disclosure is directed to a system and method for viewing jobs managed by heterogeneous job schedulers on heterogeneous computing systems. Organizations often rely on workflow schedulers or job schedulers to execute and manage their workflow pipelines. However, different departments within a large organization may rely on different job scheduling applications for managing their workflows. Without the capability to monitor and manage all or a subset of jobs running on heterogeneous job scheduling applications across the organization at the same time, organizations lack the insight they need to make their workflow pipeline more efficient. The disclosed system and method allows users to monitor jobs or computer applications, including details regarding job execution and service level agreements, running on heterogeneous job schedulers across the organization.

Abstract: In the general, the subject matter of the present disclosure relates to a data analysis tool that helps consumers, such as data scientists and engineers, understand datasets better. The disclosed data analysis framework/tool surfaces metrics to data consumers to visually inspect and understand large datasets more efficiently. In addition to the pre-computed and pre-collected metrics on given datasets or tables, the disclosed data analysis tool may also provide a way to detect various anomalies associated with the datasets.

Abstract: A system for training a machine learning model using a batch based active learning approach. The system includes an information source and an electronic processor. The electronic processor is configured to receive a machine learning model to train, an unlabeled training data set, a labeled training data set, and an identifier of the information source. The electronic processor is also configured to select a batch of training examples from the unlabeled training data set and send, to the information source, a request for, for each training example included in the batch, a label for the training example. The electronic processor is further configured to, for each training example included in the batch, receive a label, associate the training example with the label, and add the training example to the labeled training data set. The electronic processor is also configured to train the machine learning model using the labeled training data.

Abstract: A method for determining a health of a display assembly of a foldable electronic device is provided. The method includes detecting a sequence of folds of the display assembly of the foldable electronic device. Further, the method includes determining a first plurality of parameters associated with the sequence of folds of the display assembly. Further, the method includes determining a second plurality of parameters associated with a concentrated load on the display assembly. Further, the method includes determining a residual stress for the display assembly based on the first plurality of parameters and the second plurality of parameters. Further, the method includes determining the health of the display assembly based on the residual stress for the display assembly of the foldable electronic device.

Abstract: The disclosed MTJ read circuits include a current steering element coupled to the read path. At a first node of the current steering element, a proportionally larger current is maintained to meet the requirements of a reliable voltage or current sensing. At a second node of the current steering element, a proportionally smaller current is maintained, which passes through the MTJ structure. The current at the first node is proportional to the current at the second node such that sensing the current at the first node infers the current at the second node, which is affected by the MTJ resistance value.

Abstract: A search system facilitates efficient and fast near neighbor search given item vector representations of items, regardless of item type or corpus size. To index an item, the search system expands an item vector for the item to generate an expanded item vector and selects elements of the expanded item vector. The item is index by storing an identifier of the item in posting lists of an index corresponding to the position of each selected element in the expanded item vector. When a query is received, a query vector for the item is expanded to generate an expanded query vector, and elements of the expanded query vector are selected. Candidate items are identified based on posting lists corresponding to the position of each selected element in the expand query vector. The candidate items may be ranked, and a result set is returned as a response to the query.

Abstract: The present disclosure envisages a coating composition. The coating composition comprises a polymeric emulsion, silane functionalized fibres and a fluid medium. The silane functionalized fibres are present in an amount in the range of 0.05 wt. % to 10 wt. % of the coating composition. The polymeric emulsion is present in an amount in the range of 20 wt. % to 60 wt. % of the coating composition. The fluid medium is present in an amount in the range of 5 wt. % to 40 wt. % of the coating composition. The silane functionalized fibre comprises at least one polymer bonded to at least one silane group. The coating composition of the present disclosure exhibit improved properties such as better coverage when applied on a surface, mechanical properties, stain resistance properties and the like, when compared to coating composition without fibres.

Abstract: In the general, the subject matter of the present disclosure relates to a data analysis tool that helps consumers, such as data scientists and engineers, understand datasets better. The disclosed data analysis framework/tool surfaces metrics to data consumers to visually inspect and understand large datasets more efficiently. In addition to the pre-computed and pre-collected metrics on given datasets or tables, the disclosed data analysis tool may also provide a way to detect various anomalies associated with the datasets.

Abstract: Provided are an injectable and implantable drug delivery composition and a method for using such composition to release active ingredients and/or pharmaceutical agents to a site of action. The composition includes a gellan-gum crosslinked with L-cysteine and at least one pharmaceutical active agent in a biocompatible solvent.

Abstract: Systems and methods for recommending a media asset relating to a character unknown to a user are provided herein. The systems and methods may receive a first media asset viewed by a user, determine a first character in the first media asset, and include the first character in the character viewing profile for the user. Further, the systems and methods may receive a second media asset, including the first character, determine that a second character appears in the second media asset, and determine that the second character is not in the character viewing profile. The systems and methods may recommend a third media asset to the user for the second character.

Abstract: Embodiments disclosed herein relate to electronic devices, and more particularly to estimating a damage risk level for an electronic device. A method disclosed herein includes measuring motion parameters of the electronic device, on the electronic device being dropped on a surface. The method further includes classifying the surface into at least one type by processing the measured motion parameters using a classifier module. The method further includes estimating a damage risk score depicting the damage risk level for the electronic device based on the classified surface, the measured motion parameters of the electronic device, and a usage history of the electronic device.

Abstract: Provided are an injectable and implantable drug delivery composition and a method for using such composition to release active ingredients and/or pharmaceutical agents to a site of action. The composition includes a gellan-gum crosslinked with L-cysteine and at least one pharmaceutical active agent in a biocompatible solvent.

Abstract: A charging system for an Implantable Medical Device (IMD) is disclosed having a charging coil and one or more sense coils preferably housed in a charging coil assembly coupled to an electronics module by a cable. The charging coil is preferably a wire winding, while the sense coils are preferably formed in one or more traces of a circuit board. One or more voltages induced on the one or more sense coils can be used to determine one or more parameters (magnitude, phase angle, resonant frequency) indicative of the position between the charging coil and the IMD, which position may include the radial offset and possibly also the depth of the charging coil relative to the IMD. Knowing the position, the power of the magnetic field produced by the charging coil can be adjusted to compensate for the position.

Abstract: Embodiments are directed towards a system and method for a cloud-based front end that may abstract and enable access to the underlying cloud-hosted elements and objects that may be part of a multi-tenant application, such as a search application. Search objects may be employed to access indexed objects. An amount of indexed data accessible to a user may be based on an index storage limit selected by the user, such that data that exceeds the index storage limit may continue to be indexed. Also, one or more projects can be elastically scaled for a user to provide resources that may meet the specific needs of each project.

Abstract: An apparatus can manage a folding performed on a flexible device. The apparatus includes a foldable display, at least one sensor coupled to the foldable display, and a processor. The at least one sensor includes at least two sensing elements each of the at least two sensing elements is arranged asymmetrically with respect to each other along the foldable display. The processor is configured to determine at least one of a location and an angle of folding of the foldable display based on sensed values detected from the at least two sensing elements. The processor is also configured to render content on the foldable display based on the location and the angle of the folding.

Abstract: Systems and methods are disclosed herein for classifying, based on most recent information associated with recorded content, the recorded content to an appropriate deletion classifier. A media guidance application may receive information about an event that is associated with a recorded media asset. The media guidance application may determine, based on the event and a current deletion classifier associated with the recorded media asset, whether the current deletion classifier associated with the recorded media asset needs to be updated to a new deletion classifier. The media guidance application may make this determination by accessing a deletion classification database containing rules for classifying recorded media assets into a variety of deletion classifiers.

Abstract: One or more protocols between a control plane entity (e.g., a mobility management entity (MME)) and its peer nodes (e.g., mobile switching center (MSC) and/or short message service center (SMSC)) are enhanced to improve short messaging services for Internet of things (IoT) devices. Oftentimes, IoT devices enter an extended sleep mode during which they cannot be reached by the control plane entity. In one aspect, the control plane entity can determine a wait period based on information, such as, but not limited to, device context data, mapping tables, policy data, commercial traffic data, latency data, device delay tolerance, sleep mode timer values, etc. The wait period can be provided to the peer nodes, which can utilize the wait period to control one or more message retry mechanisms based on IoT device behaviors resulting in an improvement of overall IoT service behaviors and a delivery of superior IoT customer experience.