Abstract: The present invention generally relates to new compounds for therapeutic uses. In particular, this disclosure relates to novel tetracyclic compounds useful for treatment of cancer, especially castration resistant prostate cancer. Pharmaceutical composition matters and methods for treating a cancer patient by administering therapeutically effective amounts of such compound alone or together with other therapeutics are within the scope of this disclosure.

Abstract: Methods, systems, and computer-readable media for ingestion partition auto-scaling in a time-series database are disclosed. A first set of one or more hosts divides elements of time-series data into a plurality of partitions. A second set of one or more hosts stores the elements of time-series data from the plurality of partitions into one or more storage tiers of a time-series database. An analyzer receives first data indicative of the resource usage of the time-series data at the first set of one or more hosts. The analyzer receives second data indicative of the resource usage of the time-series data at the second set of one or more hosts. Based at least in part on analysis of the first data and the second data, the analyzer initiates a split of an individual one of the partitions into two or more partitions.

Abstract: Disclosed are various examples of intelligent provisioning management. In some examples, device configuration signatures are received for a group of client devices. A user interface shows at least one of a recommended configuration with a recommended set of hardware components, a recommended hardware specification, a recommended set of applications, and a recommended set of firmware based on a superset of firmware identified from the device configuration signatures. A request to configure a client device according to the recommendation is transmitted.

Abstract: The present disclosure relates to determining communication inclusivity amongst speakers during a user communication. Communication inclusivity is a targeted analysis that collectively evaluates speaking opportunities (provided and taken by users) during a user communication and thought completion during speech associated with the user communication. To derive communication inclusivity, a user communication is modeled as a probabilistic interaction between speakers, where a sequence of speaking states of the user communication is identified and analyzed. Non-limiting examples of speaking states comprise: active user speech; periods of silence; overlapping speakers; icon indication; questions in corresponding chat windows; combination states; other contextual signals; and any combination thereof. With these observed sequences of speaking states, a probability distribution is modeled over transitions between states to predict inclusivity of a user communication.

Abstract: Provided herein are manufacturing processes that include (1) subjecting precursor-containing solids to dissolution under acoustic perturbation to yield an initial slurry including dissolved precursors; (2) subjecting the initial slurry to hydrothermal synthesis to yield a subsequent slurry including siliceous solids formed from the dissolved precursors; and (3) subjecting the subsequent slurry to cementation to yield a cemented siliceous solid. Also provided herein are cemented siliceous solids formed by the manufacturing processes.

Abstract: An approach for a software defined networking manager to perform a predictive analysis of proposed modifications to a software defined network (SDN) is presented. A method comprises receiving entity logical associations that are captured in a set of rules implemented in a SDN. Once a proposed modification to the entity logical associations is received, without implementing the proposed modification and without modifying the set of rules, impacted entity associations, from the entity logical associations, are identified. Upon receiving input indicating that the proposed modification is to be accepted, an updated set of rules for the SDN is generated by updating the set of rules based on the proposed modification, and the updated set of rules is implemented in the SDN.

Abstract: A computer includes a processor and a memory, the memory storing instructions executable by the processor to apply a transform function to a plurality of images from a real-world dataset to generate a plurality of feature vectors, to apply a subspace generation algorithm to generate basis vectors of a subspace, and to project a simulated image onto the subspace to generate a realistic synthetic image.

Abstract: An autonomous earth moving system can select an action for an earth moving vehicle (EMV) to autonomously perform using a tool (such as an excavator bucket). The system then generates a set of candidate tool paths, each illustrating a potential path for the tool to trace as the earth moving vehicle performs the action. In some cases, the system uses an online learning model iteratively trained to determine which candidate tool path best satisfies one or more metrics measuring the success of the action. The earth moving vehicle the executes the earth moving action using the selected tool path and measures the results of the action. In some implementations, the autonomous earth moving system updates the machine learning model based on the result of the executed action.

Abstract: The disclosed technology generally relates to ferroelectric materials and semiconductor devices, and more particularly to semiconductor memory devices incorporating doped polar materials. In one aspect, a semiconductor device comprises a capacitor which in turn comprises a polar layer comprising a base polar material doped with a dopant. The base polar material includes one or more metal elements and one or both of oxygen or nitrogen. The dopant comprises a metal element that is different from the one or more metal elements and is present at a concentration such that a ferroelectric switching voltage of the capacitor is different from that of the capacitor having the base polar material without being doped with the dopant by more than about 100 mV. The capacitor stack additionally comprises first and second crystalline conductive oxide electrodes on opposing sides of the polar layer.

Abstract: When an EMV performs an action comprising moving a tool of the EMV through soil or other material, the EMV can measure a current speed of the tool through the material and a current kinematic pressure exerted on the tool by the material. Using the measured current speed and kinematic pressure, the EMV system can use a machine learned model to determine one or more soil parameters of the material. The EMV can then make decisions based on the soil parameters, such as by selecting a tool speed for the EMV based on the determined soil parameters.

Abstract: An apparatus such as a robot capable of performing goal oriented tasks may include one or more touch sensors to receive touch perception feedback on the location of objects and structures within an environment. A fusion engine may be configured to combine touch perception data with other types of sensor data such as data received from an image or distance sensor. The apparatus may combine distance sensor data with touch sensor data using inference models such as Bayesian inference. The touch sensor may be mounted onto an adjustable arm of a robot. The apparatus may use the data it has received from both a touch sensor and distance sensor to build a map of its environment and perform goal oriented tasks such as cleaning or moving objects.

Abstract: A computing device is programmed to generate a plurality of raw 3D point clouds from respective sensors having non-overlapping fields of view, scale each of the raw point clouds including scaling real-world dimensions of one or more features included in the respective raw 3D point cloud, determine a first transformation matrix that transforms a first coordinate system of a first scaled 3D point cloud of a first sensor to a second coordinate system of a second scaled 3D point cloud of a second sensor, and determine a second transformation matrix that transforms a third coordinate system of a third scaled 3D point cloud of a third sensor to the second coordinate system of the second scaled 3D point cloud of the second sensor.

Abstract: The disclosed technology is generally directed to a Resource Planning system. In one example of the technology, at a first site, a plurality of messages is received from a second site. The messages of the plurality of messages are associated with events. The events include dependencies that are associated with the events. The first site is not the second site. The events are associated with at least one of updating data or updating perpetual cost calculations. Messages of the plurality of messages having a first dependency level are determined based on the dependencies. The messages determined to have the first dependency level are processed. Messages of the plurality of messages having a second dependency level based on the dependencies are determined. The messages determined to have the second dependency level are processed after processing the messages determined to have the first dependency level.

Abstract: The present invention generally relates to a composition matter useful for diagnosis and treatment of Alzheimer's disease comprising A-L-F or a pharmaceutically acceptable salt thereof, wherein A is beta-amyloid peptide or a fragment thereof, L is an optional linker and F is a pH-responsive fluorophore, dye, or a therapeutic agent. Composition matters, methods of use as well as a kit for diagnosis and/or treatment of Alzheimer's disease are within the scope of this disclosure.

Abstract: Tricuspid valve repair devices and associated systems and methods are disclosed herein. A tricuspid valve repair device configured in accordance with embodiments of the present technology can include, for example, a coaptation member configured to be positioned between one or more native leaflets of the tricuspid valve to at least partially fill a space between the native leaflets. The tricuspid valve repair device can further include one or more fixation mechanisms for securing the coaptation member in position between the leaflets. The fixation mechanisms can include clip mechanisms, lock mechanisms, stabilization members, anchors, and/or other structures configured to engage cardiac anatomy local to or remote from the tricuspid valve, such as the native leaflets, the tricuspid valve annulus, the right ventricular outflow tract, the superior vena cava, the inferior vena cava, and so on.

Abstract: Examples described herein provide wake-up of a network device. Examples include receiving, by a network interface of a first network device having a first Media Access Control (MAC) address, a request to wake-up a second network device having a second MAC address that is assigned to a same subnet as the first MAC address, and in response to the request, generating, by the first network device, a first wake-up frame having a destination address of the second MAC address and configured to cause the second network device to transition from operating in the first power mode to operating in the second power mode. Examples include transmitting, by the network interface of the first network device, the first wake-up frame to the second MAC address of the second network device.

Abstract: A method for optimizing a UI of an application in an electronic device is provided. The method includes detecting, by the electronic device, at least one first application installed in the electronic device, determining, by the electronic device, at least one data item associated with at least one UI of the at least one first application to be modified, modifying, by the electronic device, the at least one data item associated with the at least one UI of the at least one first application based on a level of proficiency of a user with an already used application in the electronic device, and displaying, by the electronic device, the at least one UI with the at least one modified data item of the at least one first application.

Abstract: An operation-security system for an automated vehicle includes an object-detector and a controller. The object-detector includes at least three sensors. Each sensor is one of a camera used to determine an image-location of an object proximate to a host-vehicle, a lidar-unit used to determine a lidar-location of the object proximate to the host-vehicle, and a radar-unit used to determine a radar-location of the object proximate to the host-vehicle. The controller is in communication with the at least three sensors. The controller is configured to determine a composite-location based on a comparison of locations indicated by the at least three sensors. Information from one sensor is ignored when a respective location indicated by the one sensor differs from the composite-location by greater than an error-threshold. If a remote sensor not on the host-vehicle is used, V2V or V2I communications may be used to communicate a location to the host-vehicle.

Abstract: A micromobility transit vehicle service task management system and related methods are disclosed. In one embodiment, a system determines service tasks to be executed based on a level of availability of one or more micromobility transit vehicles. A value for each of the tasks is determined based on a cost to perform the task and value generated by an increase in availability of the one or more micromobility transit vehicles, for dynamic transportation matching, from execution of the task. The tasks may be prioritized into an order of execution that maximizes a total of the values of the tasks. The determined values of the tasks may be adjusted in the prioritization of the tasks based on the order of execution of the tasks. A navigational task route may be generated based on the prioritized tasks and assigned to a technician device to guide a technician to each of the tasks.

Abstract: An example method includes receiving incident data for historical incidents of downtime or interrupted service. The incident data includes identification information about one or more first computing applications, devices, or services affected by the downtime or the interrupted service. The incident data further includes timing information relating to the historical incidents and version history information of the one or more first computing applications, devices, or services. The method further includes receiving root cause data indicating a cause of the historical incidents and receiving action data indicating a corrective or preventative action taken or to be taken in response to each of the historical incidents. The method further includes training a machine learning algorithm using the incident, root cause, and action data to create a trained model configured to determine a root cause and a new corrective or preventative action for a new incident.