Abstract: This invention pertains to a novel method of single cell sequencing where cellular observations are paired directly with sequences. This method consists of a sequencing element with barcoded solid-phase PCR probes, cellular wells, and an optional cellular trap. Cells are loaded with reagents directly into wells or captured with cellular traps where the cellular wells are then lowered over the trapped cells. The sequencing element is then added. Cellular observations such as binding and affinity are then recorded. Cells are lysed and RT-PCR is performed to create a cDNA library that is then sequenced. Barcodes in the library allow sequences to be mapped back to individual wells. This method has applications from basic biology to personalized drug discovery to creating large databases for machine learning training sets.

Abstract: Provided herein are microneedle particles, compositions that include microneedle particles, methods of treating skin, and methods of delivering a substance of interest. The microneedle particles may include one or more microneedles, and the microneedle particles may be configured to prevent the entire microneedle particle from penetrating the biological tissue. The microneedle particles may be dispersed in a liquid medium to form a composition. A biological tissue may be contacted with the microneedle particles to pre-treat the biological tissue, and a substance of interest may be applied to the pre-treated biological tissue.

Abstract: Disclosed are air sanitation units having one or more photocatalytic oxidation (PCO) devices, a fan for moving air through the PCO devices, and a duct for directing the airflow. Additional embodiments are described for increasing the flow rate of air through the PCO devices, improving the concentration of generated oxidizer in the airflow, and reducing the energy demand of the unit.

Abstract: The disclosed technology relates to a system for securing account information using blockchain technology. The system links the configuration of a user's account to a blockchain wallet. Changes to the account configuration are pre-approved in a blockchain transaction signed by the owner's wallet private-key. The account configuration is hashed and stored on the blockchain. The system includes a monitoring component that periodically checks the status of account details and compares the hash on the blockchain with the hash of the current network observed configuration. If the hashes do not match, the system can disable the account. The system can be applied in various sectors including banking, healthcare, e-commerce, education, and government services.

Abstract: Provided are mechanisms that allow automatic media content layering. The systems and methods obtain a media content list that includes a plurality of different types of media content segment entries. Media content tracks are determined from the plurality of media content segment entries and are based on the type of those entries. Media content track features are determined from the media content segment entries where those features are used to adjust the media content tracks, layering of multiple media content tracks, adjusting media content segments that make up the media content tracks or other features. A media content layered object is then generated based on the media content track features and the media content tracks. An action, such as storage, may be performed on the generated media content layered object.

Abstract: A surgical system having adaptive control includes a surgical cutting device, at least one sensor, and a controller. The surgical cutting device includes a cutting tool and a motor configured to drive movement of the cutting tool. The at least one sensor is configured to produce sensor data indicative of at least one property of the surgical cutting device during use. The controller is configured to receive the sensor data and determine a performance condition of the surgical cutting device based at least on the sensor data. The controller is further configured, where the determined performance condition is an adverse performance condition, to at least one of: adjust settings of the surgical cutting device or recommend a change relating to use of the surgical cutting device.

Abstract: Implementations described herein are directed to techniques for mitigating and/or eliminating catastrophic forgetting of a global machine learning (ML) model during decentralized learning thereof. Remote processor(s) of a remote system can initially train a global ML model based on server data that is accessible by the remote system. In subsequent decentralized learning of the global ML model, the remote processor(s) can utilize various checkpoint averaging techniques. As described herein, these various checkpoint averaging techniques can include, but are not limited to, a static checkpoint averaging technique, a dynamic checkpoint averaging techniques, and/or a mixed centralized and decentralized training technique.

Abstract: A method, system, and computer program product that is configured to: collect a plurality of metrics for running service instances within a cloud-based system; classify the running service instances into a database classification using a machine learning algorithm based on the collected plurality of metrics for the running service instances; and perform at least one operational decision corresponding to the classified running service instances.

Abstract: A method for execution by a computing device includes obtaining a set of media element identigens for media elements of media to produce sets of media element identigens. The sets of media element identigens are possible interpretations of a media element. The method further includes generating a set of relationships between media elements. The relationships provide a list of one or more ways in which the media elements are related. The method further includes processing different permutations of the sets of media element identigens using the set of relationships to generate textual descriptions as a proxy for an entigen group. The entigen group represents a most likely interpretation of the media.

Abstract: A glass composition includes: from 50 mol % to 70 mol % SiO2; from 15 mol % to 30 mol % Al2O3; from 5 mol % to 20 mol % Na2O; from 0 mol % to 15 mol % MgO; and from 0 mol % to 15 mol % CaO. The glass composition is free or substantially free of Li (i.e., Li2O). The sum of MgO and CaO in the glass composition may be from 0 mol % to 30 mol %.

Abstract: Techniques are described herein for testing and characterizing user experiences with digital assets. Embodiments include a digital experience testing system for running usability tests with respect to user interface designs. The runtime testing environment may use a set of one or more compiled prototypes to test various facets of a user experience including what respondents do when interacting with a digital asset and how the experience engages the respondents' emotions. The digital experience testing system may analyze, enrich, synthesize, and/or otherwise process the results of one or more usability tests, based on the tracked user interactions, to provide guidance on user interface design optimizations.

Abstract: Modular block type of board connector having two different types of RF connectors and an optical cable with an optical connector. A RF connector with built-in impedance tuning and automatic biasing.

Abstract: Certain embodiments may be directed to a system and method for proctoring an exam, and more particularly, for online automated exam proctoring. A method may include checking a test-taker's computing device for compatibility, and for content that provide unauthorized aid to the test-taker during a testing session. The method may also include taking a photo of the test-taker, recording the test-taker by performing a room pan while analyzing the surrounds of the test-taker for unauthorized objects, and validating the identity of the test-taker by way of at least one of presenting challenge questions, obtaining voice biometrics, or obtaining keystroke biometrics. The method may further include recording the test-taker's audio or video and desktop feed, determining if the test-taker is exhibiting questionable behavior, and suspending the testing session if it is determined that the test-taker is exhibiting questionable behavior.

Abstract: This invention relates to compounds that can be used to treat viral infections. The compounds are papain-like protease (PLpro) inhibitors.

Abstract: Described herein is a composition for treating, preventing, and/or ameliorating melanoma in a subject in need thereof. The composition includes in certain embodiments a MEK inhibitor and a PDPK1 inhibitor. The composition includes in certain embodiments a MEK inhibitor and a Pl3K inhibitor. Further described herein is a method of treating, preventing, and/or ameliorating melanoma in a subject in need thereof. The method includes in certain embodiments administering to the subject an effective amount of a composition including a MEK inhibitor and a PDPK1 inhibitor. The method includes in certain embodiments administering to the subject an effective amount of a composition including a MEK inhibitor and a Pl3K inhibitor.

Abstract: This disclosure discloses a method of reducing the impact of noise for object detection from reconstructed feature data. The method comprising: receiving reconstructed feature data including feature maps for multiple feature scales; performing a first convolution operation on the reconstructed feature data according to a defined region proposal network; performing a second convolution operation on the data resulting from the first convolution operation; further processing the data resulting from the second convolution operation according to the defined region proposal network to generate objectness logits and anchor deltas for each feature scale; and generating bounding box predictions based on the generated objectness logits and anchor deltas.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing a machine learning task on a network input to generate a network output. One of the systems includes an attention neural network comprising one or more hierarchical attention blocks, each hierarchical attention block configured to: receive an input sequence for the hierarchical attention block; maintain a 5 plurality of memory summary keys, each memory summary key corresponding to a respective one of a plurality of partitions of a sequence of memory block inputs; determine a proper subset of the plurality of memory summary keys; and generate an attended input sequence for the hierarchical attention block including applying an attention mechanism over the respective memory block inputs at the memory positions within the partitions of 10 the sequence of memory block inputs that correspond to the proper subset of the plurality of memory summary keys.

Abstract: The present technology relates to surgical drilling devices, and associated systems and methods. In some embodiments. a surgical drilling device includes a drill bit and a drill motor. During operation, the drill bit and the drill motor can generate one or more parameters. The parameters can correspond to the drilling behavior of the drill bit, for example, to a type of tissue or a drill bit penetration depth, such that the parameters can be used to create an automatic stop threshold. In some embodiments, the surgical drilling device can be configured to measure one or more of the parameters, and to automatically stop the drill motor based on a comparison of the measured parameter(s) and the automatic stop threshold.

Abstract: Methods, systems, and apparatus for generation and use of surfel maps to plan for occlusions. One of the methods includes receiving a previously-generated surfel map depicting an area in which a vehicle is located, the surfel map comprising a plurality of surfels, each surfel corresponding to a respective different location in the area in which a vehicle is located; receiving, from one or more sensors, sensor data representing the area in which the vehicle is located; determining, based on the sensor data, that the area in which a vehicle is located includes a dynamic object having a changed shape relative to its representation in the surfel map; and generating an updated path for the vehicle to travel that avoids an occlusion by the changed shape of the dynamic object of a line of sight of one or more sensors to an area of interest.

Abstract: Methods, apparatuses, and computer program products for generating predictions using machine learning model(s) are provided. For example, a computer-implemented method may include receiving raw historical data identifying historical value(s) corresponding to attribute value(s) of a set of ordered attribute values and transforming the raw historical data into parameter expanded data by, for each particular attribute value of the set of ordered attribute values, aggregating each of the historical value(s) that corresponds to the particular attribute value and each of the historical value(s) that corresponds to an attribute value that is greater than the particular attribute value. The machine learning model(s) are trained based on the parameter expanded data, which trained machine learning model(s) are used to generate the predictions.