Abstract: Disclosed herein are methods for otoprotection against platinum-based antineoplastic agents by administering a thiosulfate salt to a subject in need thereof. Typically, the thiosulfate salt is administered to the subject scheduled to be administered a platinum-based antineoplastic agent within 4 hours. Alternatively, the thiosulfate salt is administered within 7 hours after the administration of a platinum-based neoplastic agent.

Abstract: The disclosure discloses a method for processing oil crops with rhodotorula, and belongs to the technical field of fermentation. The method includes the step of inoculating the rhodotorula (such as Rhodotorula mucilaginosa, Sporidiobolus salmonicolor and Rhodotorula glutinis) that can produce carotenoid into a fermentation medium that contains oil-rich oil crops for solid state fermentation to obtain oil and oil crop meal rich in carotenoid. The carotenoid as a fermentative metabolite of the rhodotorula has bioactivities of resisting oxidation, preventing vascular sclerosis, enhancing immunity and preventing cancers. Contents of carotenoid in the oil and oil crop meal acquired by the method can be up to 9.071 ?g/g and 8.062 ?g/g correspondingly.

Abstract: The present disclosure provides compounds that are cGAS antagonists, methods of preparation of the compounds, pharmaceutical compositions comprising the compounds, and their use in medical therapy.

Abstract: Provided are a driver controller integrated board, a control system, and a robot. The driver controller integrated board includes a control module (1), a drive module (2), and a first substrate (3). The control module (1) and the drive module (2) are disposed on the first substrate (3), and the control module (1) is electrically connected to the drive module (2).

Abstract: A light emitting substrate is provided. The light emitting substrate includes a plurality of light emitting controlling units arranged in M rows and N columns, M is an integer equal to or greater than one, N is an integer equal to or greater than one, wherein a respective one of the plurality of light emitting controlling units includes a plurality of light emitting elements arranged in J rows and I columns, J being an integer equal to or greater than one, I being an integer equal to or greater than one, a i-th column of the I columns of light emitting elements includes J rows of light emitting elements, 1?i?I; (M×J) number of first voltage signal lines; and (M×J) number of groups of second voltage signal lines.

Abstract: Systems are methods are provided for training an automated agent. The automated agent maintains a reinforcement learning neural network and generates, according to outputs of the reinforcement learning neural network, signals for communicating resource task requests. First and second task data are received. The task data are processed to compute a first performance metric reflective of performance of the automated agent relative to other entities in a first time interval, and a second performance metric reflective of performance of the automated agent relative to other entities in a second time interval. A reward for the reinforcement learning neural network that reflects a difference between the second performance metric and the first performance metric is computed and provided to the reinforcement learning neural network to train the automated agent.

Abstract: Systems are methods are provided for training an automated agent. The automated agent maintains a reinforcement learning neural network and generates, according to outputs of the reinforcement learning neural network, signals for communicating resource task requests. First and second task data are received. The task data are processed to compute a first performance metric reflective of performance of the automated agent relative to other entities in a first time interval, and a second performance metric reflective of performance of the automated agent relative to other entities in a second time interval. A reward for the reinforcement learning neural network that reflects a difference between the second performance metric and the first performance metric is computed and provided to the reinforcement learning neural network to train the automated agent.

Abstract: Systems, devices, and methods for training an automated agent are disclosed. Multiple automated agents are instantiated, each of the automated agents configured to train over a plurality of training cycles. For each resource, a dedicated portion of a memory device to store state data for the respective resource is allocated. The method includes receiving a request for state data for a particular resource from a subset of the automated agents; for each of the training cycles for the subset of the plurality of automated agents, storing updated state data for the particular resource in the dedicated portion of the memory device allocated to the particular resource; and transmitting an address of the dedicated portion of the memory device for the particular resource to the subset of the automated agents, to facilitate asynchronous reading of the stored state data for the particular resource during each training cycle.

Abstract: Systems, devices, and methods for automated generation of resource task requests are disclosed. A reinforcement learning neural network having an output layer with a plurality of policy heads is maintained. At least one reward is provided to the reinforcement learning neural network, the at least one reward corresponding to at least one prior resource task request generated based on outputs of the reinforcement learning neural network. State data are provided to the reinforcement learning neural network, the state data reflective of a current state of an environment in which resource task requests are made. A plurality of outputs is obtained, each from a corresponding policy head, the plurality of outputs including a first output defining a quantity of a resource and a second output defining a cost of the resource. A resource task request signal is generated based on the plurality of outputs from the plurality of policy heads.

Abstract: Systems are methods are provided for training an automated agent. The automated agent maintains a reinforcement learning neural network and generates, according to outputs of the reinforcement learning neural network, signals for communicating resource task requests. The system includes a communication interface, a processor, memory, and software code stored in the memory. The software code, when executed, causes the system to: instantiate an automated agent that maintains the reinforcement learning neural network; receive current state data of a resource for a first task; receive historical state metrics of the resource computed based on a plurality of historical tasks; compute normalized state data based on the current state data; and provide the historical state metrics and the normalized state data to the reinforcement learning neural network of said automated agent for training.

Abstract: Systems, devices, and methods for training an automated agent are disclosed. An automated agent is instantiated. The automated agent includes a reinforcement learning neural network that is trained over a plurality training cycles and provides a policy for generating resource task requests. A learning condition that is expected to impede training of the automated agent during a given training cycle of the plurality of training cycles is detected. In response to the detecting, a disable signal is generated to disable training of the automated agent for at least the given training cycle.

Abstract: Systems are methods are provided for training an automated agent. The automated agent maintains a reinforcement learning neural network and generates, according to outputs of the reinforcement learning neural network, signals for communicating resource task requests. The system includes a communication interface, a processor, memory, and software code stored in the memory.

Abstract: The invention discloses a system configured for assessing performance data, the system comprising a memory comprising instruction data representing a set of instructions; and a processor configured to communicate with the memory and to execute the set of instructions. The set of instructions, when executed by the processor, cause the processor to: acquire a plurality of performance data records associated with a performance indicator; classify each performance data record according to the performance indicator; identify a plurality of variables in the performance data records that contribute to the classifications; determine, based on the plurality of variables, a plurality of observations relating to the performance indicator and at least one variable of the plurality of variables; and deliver the plurality of observations for presentation to a user. A method is also disclosed.

Abstract: Embodiments of the present disclosure provide a method and device for displaying navigation information. The method includes the followings. A current position and a position of an intersection for changing direction are acquired. Road features between the current position and the position of the intersection for changing direction are analyzed to determine a ground object of the intersection for changing direction. The ground object of the intersection for changing direction is displayed. Embodiments of the present disclosure further provide a locating device.

Abstract: This disclosure relates to phosphoinositide 3-kinases (PI3Ks) inhibitors such as N-(5-(imidazo[1,2-a]pyridin-6-yl)pyridin-3-yl)sulfonamide derivatives and uses related thereto. In certain embodiments, the disclosure relates to methods of treating PI3K associated diseases or conditions comprising administering an effective amount of a compound disclosed herein to a subject in need thereof. In certain embodiments, the subject is at risk of, exhibiting symptoms of, suffering from, or diagnosed with cancer or a hematological malignancy.

Abstract: This disclosure relates amide-sulfamide compounds disclosed herein and uses related to CXCR4 inhibition. In certain embodiments, the compounds have formula I, salts, derivatives, and prodrugs thereof wherein, A is a bridging aryl or heterocyclyl and R1 and R2 are further disclosed herein. In certain embodiments, the disclosure contemplates pharmaceutical compositions comprising compounds disclosed herein. In certain embodiments, the disclosure relates to methods of treating or preventing CXCR4 related diseases or conditions by administering an effective amount of a compound disclosed herein to a subject in need thereof.

Abstract: The invention discloses a system configured for assessing performance data, the system comprising a memory comprising instruction data representing a set of instructions; and a processor configured to communicate with the memory and to execute the set of instructions. The set of instructions, when executed by the processor, cause the processor to: acquire a plurality of performance data records associated with a performance indicator; classify each performance data record according to the performance indicator; identify a plurality of variables in the performance data records that contribute to the classifications; determine, based on the plurality of variables, a plurality of observations relating to the performance indicator and at least one variable of the plurality of variables; and deliver the plurality of observations for presentation to a user. A method is also disclosed.