Abstract: Embodiments disclosed herein provide methods of making polymer-metal organic framework-gels (polymer-MOF-gels), the method comprising forming a metal solution comprising a metal salt, an acid, and a first solvent, and forming a product mixture comprising the metal solution, a polymer, and a carboxylic acid linker to produce the polymer-MOF-gel. Embodiments disclosed herein provide polymer-MOF-gels comprising a polymer and a metal organic framework (MOF) having pores, wherein at least a portion of the polymer is entrapped in the pores of the MOF.

Abstract: There is provided a method and a controller for performing dynamic Host Memory Buffer (HMB) management in Peripheral Component Interconnect express (PCIe) based devices. The controller estimates a potential memory requirement for one or more memory intensive operations to be performed by the PCIe based device, transmits a first request to a host device associated with the PCIe based device, the first request indicating the potential memory requirement from Host Memory Buffer (HMB) of the host device, receives a plurality of memory allocation slots from the host device based on the first request, transmits a second request comprising HMB information related to current memory requirement based on the plurality of memory allocation slots to the host device and initializes memory of the HMB allocated to the controller based on the second request, for performing the at least one of the one or more memory intensive operations.

Abstract: Disclosed is a method performed by a user equipment (UE) for Artificial Intelligence (AI) based Channel State Information (CSI) encoding. The method comprises receiving, a signaling message including at least one encoding parameter from a Base Station (BS), wherein the encoding parameter comprises an AI model. The method comprises segmenting a precoder data based on the signaling message into a plurality of data segments. The method comprises selecting at least one AI model from a plurality of AI models based on the at least one encoding parameter received from the BS. The method comprises encoding each data segment of the plurality of data segments of the precoder data using the at least one selected AI model. The method comprises sending at least one encoded data segment of the precoder data to the BS for decoding.

Abstract: In an example implementation consistent with the features disclosed herein, a tenant service in an internal network is made accessible to clients in an external network through a load balancer service. A request is transmitted by a tenant computing cluster in response to discovering creation of the tenant service at the tenant computing cluster. The request is received by a gateway computing cluster. The load balancer service is deployed at the gateway computing cluster in response to receiving the request. An external IP address for the external network is assigned to the load balancer service. The load balancer service is configured to forward client requests received at the external IP address to the tenant service. The external IP address is then sent to the tenant computing cluster.

Abstract: A system to guide robotic automation of vertical farming, comprising: artificial intelligence optimization software that estimates size, mass and yield of the vertical farming; wherein the artificial intelligence optimization software is coupled to a robot; wherein the robot utilizes computer vision in order to estimate the height, growth and mass of plants in a vertical farm; wherein the robot has a robotic arm that sows seeds in the vertical farm; wherein once the seed grows past a seedling, the robot moves the seedling to a hydroponics greenhouse; wherein in the hydroponics greenhouse the robot uses computer vision to estimate the height, growth and mass of plants; and wherein the artificial intelligence optimization software provides guidance and feedback on when and where the robot should make changes to plants in the hydroponic greenhouse. The system also has sensors throughout the vertical farm and greenhouse that send data to the software.

Abstract: The present disclosure provides methods for the treatment of major depressive disorder by administering cariprazine or a pharmaceutically acceptable salt thereof.

Abstract: Techniques for authenticated data retrieval and/or storage using masked credential data are described. In accordance with some of the techniques described herein, a method includes receiving a data retrieval request associated with accessing target data stored on a cloud storage platform; providing a credential data request associated with the data retrieval request and the cloud storage platform to a credential data management server; based on the credential data request, receiving credential data from the credential data management server; determining a field of a data retrieval script based on the credential data; and executing the data retrieval script based on the field, wherein executing the data retrieval script includes establishing an authenticated connection with the cloud storage platform and accessing the target data using the authenticated connection.

Abstract: There are provided systems and methods for reducing latency through propensity models that predict data calls. A service provider, such as an electronic transaction processor for digital transactions, may provide computing services to users including those for electronic transaction processing. In order to provide sequence-based forecasting of computing events and processing requests for users, accounts, and/or activities associated with the service provider, the service provider may provide a machine learning model, such as a deep neural network, that predicted potential occurrences and likelihoods of computing events occurring at future times. When predicting the events, the service provider's machine learning predictive framework may further predict data calls required to be executed to retrieve data needed for processing during the events. These predicted calls may then be batched together into a batch processing job, which may be executed to retrieve the data prior to the predicted events.

Abstract: Application prototyping systems and methods are disclosed. One aspect is a processing method for multiple computing devices that includes identifying resource constraints for the multiple computing devices. Using identified resource constraints, multiple presentation models at least in part based on identified processing metrics are created. In one aspect, the multiple presentation models include multiple processing pipelines configurable for execution on multiple computing devices. An inference engine can be used to provide an execution model for the multiple processing pipelines based at least in part on the multiple presentation models, with the execution model having improved processing metrics as compared to at least one of the multiple presentation models.

Abstract: Described herein are exemplary systems and methods for the optimization of shipping cartons relative to the contents of orders to be placed therein. An exemplary carton optimization method evaluates a sample size of orders received at a given location and then determines an optimal carton set that includes at least one feasible carton for each order, while also minimizing shipping costs based on dimensional weighing-based pricing by reducing the dimensional weight, thereby minimizing void space and increasing the carton space utilization percentage. An exemplary carton optimization method may be further customized to optimize a carton set for an order, based on the cartons already available at a given warehouse or other site. As a result, cartons are utilized and designed more efficiently at the site.

Abstract: A color-changing smart card may be provided. The smart card may include a first layer encasing at least a front of the smart card. The smart card may include a smart chip on the front of the smart card. The smart chip may be configured for transmitting and receiving electronic communications to and from a point of sale (“POS”) device. The smart card may include microcapsules residing on a second layer of the smart card. When the microcapsules are in a rest state the first layer may have a first color. When the microcapsules are in an active state the first layer may have a second color. The microcapsules may be triggered to change the color in response to the smart chip receiving an electronic communication of a status of a transaction initiated by the smart card at the POS device.

Abstract: The invention includes a systems and methods for producing a gaseous outflow stream comprising chemical products and thermal energy, where the method includes providing a first reactant stream comprising CO2 and a second reactant stream comprising a hydrocarbon reactant, providing a plasma reactor equipped with a source of microwave energy for forming a non-thermal plasma; mixing the first reactant stream and the second reactant stream to form a feedgas mixture; directing the feedgas mixture to encounter microwave energy in the plasma reactor, wherein the microwave energy energizes the feedgas mixture to form the non-thermal plasma, thereby producing thermal energy and transforming the feedgas mixture in the non-thermal plasma into a product mixture comprising the chemical products; and directing the product mixture and the thermal energy to exit the plasma reactor, thereby forming the gaseous outflow stream comprising the chemical products and the thermal energy.

Abstract: By example, a method includes: receiving ultrasound image data of a patient, including a segmented region corresponding to a liver; automatically identifying an area for a region of interest within the segmented region, wherein the region of interest corresponds to a region in the liver for performing shear-wave elastography; and presenting, on a display, the ultrasound image data and the area for the region of interest.

Abstract: The present disclosure is directed to inhibitors of Formula (0), or a stereoisomer thereof, or pharmaceutically acceptable salt thereof, of the interaction of menin with MLL and MLL fusion proteins, pharmaceutical compositions containing the same, and their use in the treatment of cancer and other diseases mediated by the menin-MLL interaction.

Abstract: A cartridge for use with chemical or biological analysis systems, as well as methods of using the same, is provided. The cartridge may include a floating microfluidic plate that is held in the cartridge using one or more floating support brackets that incorporate gaskets that may seal against fluidic ports on the microfluidic plate. The floating support brackets may include indexing features that may align the microfluidic plate with the seals.

Abstract: A system can communicate broadband cellular communications with a base station. The system can receive a radio resource control message from the base station to establish a sounding reference signal mode for the broadband cellular communications, wherein the sounding reference signal mode is a periodic mode. The system can receive a second message in a second format from the base station, wherein the second format differs from a radio resource control format, and wherein the second message indicates changing a number of sounding reference signal positions. The system can send, to the base station, a third message that utilizes the number of sounding reference signal positions to convey sounding reference signal information, wherein, responsive to the sending, channel quality data is stored that comprises an indication of a channel quality that corresponds to the broadband cellular communications based on the third message.

Abstract: A method comprises receiving one or more indications corresponding to one or more derivative video files. Each derivative video file of the one or more derivative video files has a different frame rate. The method further comprises selecting an indication of a derivative video file with a corresponding derivative video frame rate. The method further comprises receiving the derivative video file and an original video frame rate. The method further comprises determining a playback frame rate to slow a derivative video of the derivative video file using a desired frame rate, the derivative video frame rate, and the original video frame rate. The method further comprises displaying the derivative video at the determined playback frame rate.

Abstract: Hybrid and adaptive cooling systems are described. A method comprises selecting a cooling system type from a set of cooling system types of a hybrid cooling system to cool an electronic component of an electronic device, generating a control directive to activate a cooling component of the cooling system type, and performing thermal management of the electronic component of the electronic device using the cooling component of the cooling system type. Other embodiments are described and claimed.

Abstract: A load control system for controlling an electrical load in a space of a building occupied by an occupant may include a controller configured to determine the location of the occupant, and a load control device configured to automatically control the electrical load in response to the location of the occupant. The load control system may include a mobile device adapted to be located on or immediately adjacent the occupant and configured to transmit and receive wireless signals. The load control device may be configured to automatically control the electrical load when the mobile device is located in the space. The load control system may further comprise an occupancy sensor and the load control device may automatically control the electrical load when the occupancy sensor indicates that the space is occupied and the mobile device is located in the space.

Abstract: This disclosure describes, in part, context-based device arbitration techniques to select a voice-enabled device from multiple voice-enabled devices to provide a response to a command included in a speech utterance of a user. In some examples, the context-driven arbitration techniques may include determining a ranked list of voice-enabled devices that are ranked based on audio signal metric values for audio signals generated by each voice-enabled device, and iteratively moving through the list to determine, based on device states of the voice-enabled devices, whether one of the voice-enabled devices can perform an action responsive to the command. If the voice-enabled devices that detected the speech utterance are unable to perform the action responsive to the command, all other voice-enabled devices associated with an account may be analyzed to determine whether one of the other voice-enabled devices can perform the action responsive to the command in the speech utterance.