Abstract: A method of manufacturing a semiconductor device with an attached battery is provided. The method includes affixing a semiconductor die to a die pad region of a first battery lead of a leadframe. The first battery lead of the leadframe is separated from a second battery lead of the leadframe. An encapsulant encapsulates the semiconductor die and portions of the first and second battery leads of the leadframe. The battery is affixed to an exposed portion of the first battery lead of the leadframe such that a first terminal of the battery is conductively connected to the first battery lead. An exposed portion of the second battery lead of the leadframe is bent to overlap a top surface portion of the battery such that a second terminal of the battery conductively connected to the second battery lead.

Abstract: A method of controlling tint of a tintable window to account for occupant comfort in a room of a building. The tintable window is between the interior and exterior of the building. The method predicts a tint level for the tintable window at a future time based on a penetration depth of direct sunlight through the tintable window into the room at the future time and space type in the room. The method also provides instructions over a network to transition tint of the tintable window to the tint level.

Abstract: An anomaly diagnosis system obtains a plurality of anomaly signals corresponding to a plurality of sensor signals of a physical system and segments one or more anomaly signals into a plurality of time segments. The system determines an anomaly score for each time segment based on anomaly values of the one or more anomaly signals during the time segment and identifies an anomaly time interval corresponding to at least one consecutive time segment within the plurality of time segments. The system clusters the plurality of anomaly signals within the anomaly time interval to identify an anomaly group of sensor signals associated with the anomaly time interval and determines an aggregate anomaly score for the anomaly group. The system generates a graphical user interface presenting a representation of the anomaly group of sensor signals and the aggregate anomaly scores and causes the graphical user interface to be displayed on a user device.

Abstract: Methods and systems for detecting systemwide service issues by using anomaly localization. In an example, a method includes receiving time-series monitoring data for multiple services, the time-series monitoring data including multiple dimensions and an error metric; for the monitoring data from each service, evaluating scopes within the monitoring data based on an objective function for a time-series of the error metric to identify at least one anomalous scope, each scope including at least one dimension and a value for the dimension; based on evaluating the scopes, generating a ranked list of scopes for each service based on objective function scores for the scopes; correlating the ranked lists of scopes across the multiple services to identify a cross-service anomaly; and generating an alert for the services based on the cross-service anomaly, the alert indicating at least one scope as a potential root cause for the cross-service anomaly.

Abstract: Disclosed herein are system, method, and computer program product embodiments for synchronizing data in a source system to an application without relying on middleware. An embodiment operates by performing an initial load of records for an object for an application from a source system, thereby retrieving a first set of records. The embodiment first maps the first set of records to the object using a transform template. The embodiment creates the object in the application using the first set of records based on the first mapping. The embodiment performs a delta load of records for the object from the source system, thereby retrieving a second set of records. The embodiment second maps the second set of records to the object using the transform template. The embodiment then updates the object using the second set of records based on the second mapping.

Abstract: The present disclosure provides novel and efficient methods and lentiviral vectors for manufacturing a population of immune cells engineered to express a Chimeric Antigen Receptor (CAR), an engineered T cell receptor (TCR), and/or a nucleic acid sequence encoding a polypeptide that enhances the immune cell function, or a functional derivative thereof in less than 72 hours; engineered cells generated by the methods, compositions comprising said cells and methods of treating a disease or condition using said cells.

Abstract: Systems and methods for predicting application failures using a hybrid neural network with multi-threaded inputs are provided. A method includes storing, in a first database, information relating to a plurality of digital applications, and storing, in a second database, information relating to historical performance issues associated with the plurality of digital applications. The method may include training the hybrid neural network according to the particulars disclosed herein. The method may also include detecting a trigger event relating to one of the plurality of digital applications, and via the particulars disclosed herein, using the hybrid neural network to output a set of predicted application failures.

Abstract: Disclosed are some implementations associated with a flow builder application including a graphical representation of a flow. Performance data associated with the flow can be obtained. A set of metrics associated with the flow can be generated or updated based, at least in part, on the performance data. The set of metrics can include one or more metrics collected across one or more flow runs. At least a portion of the set of metrics can be provided for presentation within the flow builder application in relation to one or more elements of the flow. The portion of the set of metrics can indicate a performance condition including a duration of the one or more elements of the flow. A request to edit the flow based on the performance condition can be processed, and the graphical representation of the flow can be modified.

Abstract: This disclosure provides systems, methods, and apparatus for controlling transitions in an optically switchable device. In one aspect, a controller for a tintable window may include a processor, an input for receiving output signals from sensors, and instructions for causing the processor to determine a level of tint of the tintable window, and an output for controlling the level of tint in the tintable window. The instructions may include a relationship between the received output signals and the level of tint, with the relationship employing output signals from an exterior photosensor, an interior photosensor, an occupancy sensor, an exterior temperature sensor, and a transmissivity sensor. In some instances, the controller may receive output signals over a network and/or be interfaced with a network, and in some instances, the controller may be a standalone controller that is not interfaced with a network.

Abstract: A method of controlling tint of a tintable window to account for occupant comfort in a room of a building. The tintable window is between the interior and exterior of the building. The method predicts a tint level for the tintable window at a future time based on a penetration depth of direct sunlight through the tintable window into the room at the future time and space type in the room. The method also provides instructions over a network to transition tint of the tintable window to the tint level.

Abstract: A method of deriving a financial conscientiousness score from visual choices, using a machine learning model that is trained at a server is provided. The method includes (i) obtaining visual selection as an input from the user that is selected from one or more different visual choices that are displayed to the user, (ii) determining trait scores for a subset of traits based on the points that are attributed to the visual choices, (iii) training, a machine learning model by correlating the trait scores for the subset of traits with a previous credit history or a loan repayment record of the user to obtain a trained machine learning model, and (iv) determining, using the trained machine learning model, a financial conscientiousness score based on the trait scores for the subset of traits.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for using machine learning to detect and correct satellite terminal performance limitations. In some implementations, a system retrieves data indicating labels for clusters of network performance anomalies. The system generates a set of training data to train a machine learning model, the set of training data being generated by assigning the labels for the clusters to sets of performance indicators used to generate the clusters. The system trains a machine learning model to predict classifications for communication devices based on input of performance indicators for the communication devices. The system determines a classification for the communication device based on output that the trained machine learning model generates.

Abstract: The disclosure provides a composition comprising a modified cellulosic surface having aliphatic fatty acid molecules and amine-silica particles that are covalently bonded to cellulose fibers of the cellulosic surface. Also disclosed is a composition comprising a modified cellulosic surface including low surface energy molecules and amine functionalized nanotubes decorated with silica nanoparticles that are covalently bonded to cellulose fibers of the cellulosic surface. Also disclosed is a process for increasing hydrophobicity of a cellulosic surface. Also disclosed is a process for increasing hydrophobicity and surface roughness of a cellulosic surface. Also disclosed are products comprising the compositions and modified cellulosic surfaces of the present invention.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for managing display devices using machine learning. In some implementations, a system receives image data representing an image provided for presentation by a display device. The system processes the image data using a machine learning model that has been trained to evaluate status of display devices based on input of image data corresponding to the display devices. The system selects a classification for a status of the display device based on the output that the machine learning model generated based on the image data. The system provides an output indicating the selected classification over the communication network in response to receiving the image data.

Abstract: The present disclosure relates to a herbal bioactive dressing for healing wounds and a method thereof. The dressing includes an outer layer having a matrix of nanofibre formed by mixing cow urine with extracts obtained from Aloe Vera, Calandula, Curcumin, Sandal wood in same amount and a self-adhesive inner layer. The dressing incorporated into the nanofiber patches through electrospinning.

Abstract: A method for performing an entity resolution comprises obtaining, by an entity resolution manager, an aggregated database comprising a set of client information entries, in response to the obtaining: performing a sorting algorithm on attributes of each client information entry in the aggregated database to obtain a set of attribute groupings, performing a scoring algorithm on each of the set of attribute groupings to calculate a set of confidence scores each corresponding to a pair of attributes in each set of attribute groupings, assigning a group identifier (ID) to each item in each of the set of attribute groupings based on the set of confidence scores, performing a client resolution using the group ID of each item to obtain a graph-based attribute relation report, and display the graph-based attribute relation report on a graphical user interface (GUI).

Abstract: Provided herein are mycelium materials and methods for production thereof. In some embodiments, a mycelium material includes: a cultivated mycelium material including one or more masses of branching hyphae, wherein the one or more masses of branching hyphae may be disrupted or pressed and a siloxane or an aliphatic chain compound may be combined with the cultivated mycelium material. Methods of producing a mycelium material are also provided.

Abstract: Methods, apparatus, and processor-readable storage media for automated image analysis using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining image data associated with at least one event; characterizing a plurality of attributes of the image data by processing at least a portion of the image data using one or more artificial intelligence techniques and processing metadata associated with at least a portion of the image data using one or more rule-based techniques; generating a determination as to whether one or more portions of the image data have been modified based at least in part on the plurality of characterized attributes of the image data; and performing one or more automated actions, based at least in part on the determination, in connection with at least one user request related to the image data associated with the at least one event.

Abstract: The present invention provides diagnostic methods, therapeutic methods, and compositions for the treatment of cancer. The compositions and methods described herein can be used, for example, to identify a patient having a cancer who may benefit from treatment with a PD-L1 axis binding antagonist and to treat such patients accordingly. Using the compositions and methods of the disclosure, a patient, such as a human cancer patient, may be determined to be likely to benefit from treatment with a PD-L1 axis binding antagonist if the patient exhibits the presence or an elevated expression level of any of the biomarkers disclosed herein. Exemplary PD-L1 axis binding antagonists that may be used in conjunction with the compositions and methods of the disclosure are PD-L1 binding antagonists, such as anti-PD-L1 antibodies and antigen-binding fragments thereof, including atezolizumab, as well as PD-1 binding antagonists, such as anti-PD-1 antibodies and antigen-binding fragments thereof.

Abstract: Disclosed herein are system, method, and computer program product embodiments for synchronizing data in a source system to an application without relying on middleware. An embodiment operates by performing an initial load of records for an object for an application from a source system, thereby retrieving a first set of records. The embodiment first maps the first set of records to the object using a transform template. The embodiment creates the object in the application using the first set of records based on the first mapping. The embodiment performs a delta load of records for the object from the source system, thereby retrieving a second set of records. The embodiment second maps the second set of records to the object using the transform template. The embodiment then updates the object using the second set of records based on the second mapping.