Abstract: Various embodiments include methods for rotating a control node role among devices in a control cluster of a wireless mesh network. Methods may include assuming the control node role by a first device based on a control node assumption timing in a schedule, and transmitting periodic messages to support the wireless mesh network. Methods may further include using the schedule to identify a control node role end timing and a third device in the control cluster that will assume the control node role, transmitting the periodic messages while monitoring for an extended advertisement from the third device after the control node role end timing until the extended advertisement from the third device is received, and assuming a passive node role upon receiving the extended advertisement from the third device or continuing the control node role when no extended advertisement is received from the third device.

Abstract: A system for obtaining a soil sample, dispensing liquid, such as a nanoparticle suspension, into the soil sample, collecting the resulting leachate, and extracting a soil layer from the obtained soil sample. A sample tube is used for obtaining and holding a soil sample, and includes a removable section and stationary section joined in sliding relation to each other. A fluid dispensing unit is configured to attach to the sample tube to dispense fluid through the soil sample and may include a magnetic stirrer, pump, and different flow rate configurations. A collection unit attaches to the sample tube and collects the resulting leachate. A soil layer extraction tool holds the sample tube, creates an opening in the sample tube exposing the soil sample, and extracts a layer of soil for analysis using extractor blades. The extractor blades include an upper blade and lower blade connected by a vertical blade.

Abstract: A system and method for project-based uniform data analytics in a provider network. The system and method provide data projects. A data project is a secure container that brings people, data, and tools together to enable easy collaboration and access management for data analytic projects. A data project enables a group of users to collaborate on a particular business use case for producing and consuming data. A data project and its content are subject to their own access controls so that only authorized individuals, groups, and roles can access the projects and data that project has subscribed to, and only use tools permitted by project permissions.

Abstract: A system includes one or more neutron sources configured to emit neutrons. The system also includes one or more electron detectors configured to detect electrons. Further, the system includes a control system comprising one or more processors. The control system is configured to determine a lithium concentration based on the electrons. Further, the control system is configured to generate a lithium extraction output based on the lithium concentration.

Abstract: Backing up resource changes in real time for resource restoration is provided. An indication that resources of a primary controller node need to be restored on a particular primary controller node in an orchestration environment in accordance with changes in the resources is monitored for. The resources are restored on the particular primary controller node in accordance with the changes in the resources based on the resources of a secondary controller node in the orchestration environment in response to the computer determining the indication was detected that the resources need to be restored on the particular primary controller node in accordance with the changes in the resources based on the monitoring for the indication.

Abstract: A sample tube is disclosed in a system for obtaining a soil sample, dispensing liquid into the soil sample, collecting the resulting leachate, and extracting a soil layer from the soil sample. The sample tube includes a removable section and stationary section joined in sliding relation. The removable section includes a first vertical wall, second vertical wall, and top ring. The stationary section has openings covered by the first vertical wall and second vertical wall of the removable section. Stabilizing means such as flanges are included for preventing rotation of the removable section within the stationary section. The flanges contact sides of the removable section. A drilling head and T-shaped handle may attach to the sample tube for extraction of a soil sample.

Abstract: An object-based data storage service receives a request to store a data object in association with a smart data storage tier. Based at least in part on characteristics of the data object, the object-based data storage service identifies and stores the data object in a first location corresponding to a first data storage tier. The object-based data storage service monitors access to the data object to identify a second set of characteristics of the data object. This second set of characteristics is used to determine that the data object is to be transitioned to a second data storage tier. The object-based data storage service, based at least in part on this determination, stores the data object in a second location corresponding to the second data storage tier.

Abstract: A system for managing data persistence formats in a computing system, comprising, at least one data processor; and at least one memory result in operations comprising: computing an estimated serial size (ES) for a dataset; computing an estimated unified size (EU) for the dataset; selecting, based at least in part on a predefined set of rules, between a serial persistence format and a unified persistence format to store the dataset, wherein the selection is based at least in part on the computed estimated serial size and the computed estimated unified size; storing the selected persistence format in a metadata associated with the stored dataset; and in response to a loading request, loading the stored dataset by referring to the metadata.

Abstract: There are provided systems and methods for determining processing weights of rule variables for rule processing optimization. A service provider, such as an electronic transaction processor for digital transactions, may utilize different decision services that implement rules for decision-making of data including real-time data in production computing environments. Rules may correspond to coded statements that perform an automated decision-making service for the computing services and platforms of the service provider. When writing rules, different variables for data objects may be utilized, where each variable may perform a different operation and/or utilize a different operation for fetching and retrieving data used during rule processing. Each variable may therefore have a different data processing weights based on processing requirements of the data. Thus, optimization of rule authoring may be performed by mapping variables to other similar variables and showing a processing weight of each variable.

Abstract: Disclosed are systems and techniques for wireless communications. For example, a wireless communication device can receive, from a network device, a signal indicating a plurality of slots of time within a subevent interval for transmission of data, wherein the subevent interval is associated with a group of wireless communication devices that includes the wireless communication device. The wireless communication device can transmit one or more data packets within the plurality of slots of time.

Abstract: Systems and methods for machine learning of medical records are provided. The system can execute multiple machine learning models on the medical records in parallel using multi-threaded approach wherein each machine learning model executes using its own, dedicated computational thread in order to significantly speed up the time with which relevant information can be identified from documents by the system. The multi-threaded machine learning models can include, but are not limited to, sentence classification models, comorbidity models, ICD models, body parts models, prescription models, and provider name models. The system can also utilize combined convolutional neural networks and long short-term models (CNN+LSTMs) as well as ensemble machine learning models to categorize sentences in medical records. The system can also extract service provider, medical specializations, and dates of service information from medical records.

Abstract: Systems, storage mediums comprising instructions, and methods of training a neural network to determine solutions to an optimization problem are provided. The methods involve obtaining training data representing a plurality of instances of an optimization problem, each instance being represented by a set of state parameters. For each instance of the optimization problem, a plurality of solutions are generated, each solution being generated using a neural network conditioned on an N-dimensional vector. Training the neural network conditioned on an N-dimensional vector associated with the highest performing solution is performed. Systems, storage mediums, and methods of using an neural network trained to be conditioned on an N-dimensional vector are also provided. These methods involve a search process for identifying an N-dimensional vector selected from a vector latent space to obtain a solution for the instance of the optimization problem.

Abstract: A soil layer extractor tool used in a system for obtaining a soil sample, dispensing liquid into the soil sample, collecting the resulting leachate, and extracting a soil layer from the obtained soil sample. The soil layer extractor tool includes a base, a holder for a sample tube, and crane for lifting walls of the sample tube to expose a soil sample within the sample tube. The base includes a lower base portion and upper base portion joined in sliding relation. Vertical posts are mounted on the upper base portion, and extractor blades are mounted on the vertical posts for extracting a soil layer. The extractor blades include a lower blade and upper blade, and a vertical blade positioned therebetween. A soil layer is extracted by a sliding movement pushing the extractor blades into the exposed soil sample thus removing a soil layer from sample contained in the sample tube.

Abstract: A primary database system loads database objects into a primary in-memory store according to a given format. The primary database captures, in replay logs, the loading of the database objects according to the given format. The primary database sends the replay logs to a secondary database system. In response to receiving a replay log, the secondary database checks the value of a log replay configuration parameter. If the configuration parameter is a first value, the secondary database replays the replay log to load the corresponding database objects into a secondary in-memory store according to a first format. If the configuration parameter is a second value, the secondary database replays the log to load the objects according to a second format, and if the configuration parameter is a third value, the secondary database replays the log to load the objects in a same format which was used by the primary database.

Abstract: A jamming signal detection control method includes: receiving, at a satellite positioning signal receiver, one or more satellite positioning signals; determining, at the satellite positioning signal receiver, one or more quality metric values based on the one or more satellite positioning signals; determining, at the satellite positioning signal receiver, whether the one or more quality metric values are indicative of jamming; and activating, at the satellite positioning signal receiver and in response to the one or more quality metric values being indicative of jamming, a jammer detection technique to determine whether a jamming signal is received by the satellite positioning signal receiver.

Abstract: The invention relates to methods of treating baldness, treating alopecia, promoting hair growth, and/or promoting hair follicle development and/or activation or stimulation on an area of the skin of a subject (for example, a human) by subjecting said area of the skin to integumental perturbation. Integumental perturbation can be used in combination with other treatments for promoting hair growth. The invention provides devices for integumental perturbation for promoting hair growth, and provides pharmaceutical compositions for use in combination with integumental perturbation for promoting hair growth.

Abstract: Disclosed are compositions and methods for the use of adiponectin peptidomimetics in therapeutic applications. The compositions can include a peptide, for example, D-Asn-Ile-Pro-Nva-Leu-Tyr-D-Ser-Phe-Ala-D-Ser-NH2, a solubilizer, a surfactant(s), a buffer, optionally boric acid and optionally mannitol. The osmolality of the composition can be between 260 to 330 mOsm/kg and the pH can be between 4.5 to 5.5. Methods of using the compositions in treating certain eye disease(s) are also disclosed.

Abstract: The system for making suspensions includes a housing, with a platform mounted therein and a translating table slidably mounted on the platform for removably supporting a receptacle. A base fluid tank stores a base fluid, and a solid particle container stores solid particles. A rotating dispenser system is mounted within the housing, above the platform and the receptacle. The rotating dispenser includes a base fluid dispenser for dispensing a controlled mass of the base fluid into the receptacle, and a solid particle dispenser for dispensing a controlled mass of the solid particles into the receptacle. The base fluid dispenser is in communication with the base fluid tank, and the solid particle dispenser is in communication with the solid particle container. A mixer selectively and controllably mixes the controlled mass of the base fluid and the controlled mass of the solid particles in the receptacle to form the suspension.

Abstract: Systems and methods for machine learning model retraining is described. In one example, a system includes a computing device that is configured to determine an anomaly score from a first input of a featurized data set for a machine learning model of a deployment environment. The computing device is configured to determine a feature correlation score for the machine learning model based at least in part on a second input of a featurized historical data set for the machine learning model. A model retraining frequency time period for the machine learning model is determined based at least in part on the feature correlation score and the anomaly score.

Abstract: Disclosed are systems and techniques for wireless communications. For example, a network device can divide a data package into a plurality of segments. The network device can transmit, to a plurality of wireless communication devices, a broadcast message indicating a first time to start receiving a plurality of subframes comprising the plurality of segments, a total number of the plurality of segments, and a total number of the plurality of subframes for the data package. The network device can transmit, to the plurality of wireless communication devices starting at the first time, the plurality of subframes comprising the plurality of segments.