Abstract: An organometallic compound represented by Formula 1: M1(Ln1)n1(Ln2)n2??Formula 1 wherein M1 is a transition metal, Ln1 is a ligand represented by Formula 1-1, Ln2 is a bidentate ligand, n1 is 1, 2, or 3, and n2 is 0, 1, or 2, wherein X1, X2, X11 to X14, Y1, R10, R20, ring CY2, b10, and b20 are as defined herein, and wherein * and *? each indicate a binding site to M1.

Abstract: One or more techniques and/or computing devices are provided for non-disruptively establishing a synchronous replication relationship between a primary volume and a secondary volume and/or for resynchronizing the primary volume and the secondary volume. For example, a baseline snapshot and one or more incremental snapshots of the primary volume are used to construct and incrementally update the secondary volume with data from the primary volume. A dirty region log is used to track modifications to the primary volume. A splitter object is used to split client write requests to the primary volume and to the secondary volume. A synchronous transfer engine session is initiated to processing incoming client write requests using the dirty region log. A cutover scanner is used to transfer dirty data from the primary volume to the secondary volume. In this way, a synchronous replication relationship is established between the primary volume and the secondary volume.

Abstract: Various aspects of the present disclosure generally relate to control of a user device under a wet condition. In some aspects, a user device may determine whether the user device is operating under a wet condition; select, based at least in part on whether the user device is operating under the wet condition, a set of input components to control the user device, wherein the set of input components is selected from a plurality of different sets of input components; and configure a user interface of the user device according to the set of input components. Numerous other aspects are provided.

Abstract: A Point-Of-Sale (POS) processing environment is encapsulated within a container running on a first Operating System (OS) of a transaction terminal. Peripheral drivers for connected peripherals run on a second and different OS of the transaction terminal. A platform processing environment runs the peripheral drivers on the second and different OS of the terminal. A socket interface is provided for communication between transaction applications of the POS processing environment with the peripheral drivers of the platform processing environment for purposes of allowing the transaction applications to control and access the connected peripherals during transactions performed at the transaction terminal via the socket interface.

Abstract: A method of executing interfaces of a network service and virtual network functions of the network service, includes the steps of: retrieving a descriptor of a network service; determining from the descriptor of the network service, virtual network functions associated with the network service including first and second virtual network functions, and that the second virtual network function references an output of an interface of the network service; during execution of the interface of the network service, storing the output thereof that is referenced by the second virtual network function; and retrieving the output of the interface of the network service that has been stored as an input to an interface of the second virtual network function.

Abstract: Systems and methods can include one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts. The acts an include providing a bonded network interface on a host server, where the host server can include a plurality of internet protocol (IP) addresses. The acts also can include binding a first database instance container to a first IP address of the plurality of IP addresses of the host server such that a first database deployed inside the first database instance container has direct access to the host server. Systems and methods also can include deploying a first database instance container of a first cluster at a first host server and deploying a second database instance container of a second cluster at the first host server. Other embodiments also are disclosed herein.

Abstract: Some aspects of this disclosure relate to apparatuses and methods for implementing techniques for support mobility in a wireless network for user equipments (UEs) with varying capabilities. A UE can receive a first system information from a serving base station, where the first system information includes a UE capability condition associated with a neighbor base station, and determine whether a UE capability meets the UE capability condition associated with the neighbor base station. When the UE capability condition is met, the UE can determine whether a first measurement of a first reference signal received from the serving base station and a second measurement of a second reference signal received from the neighbor base station satisfy a threshold condition. When the threshold condition is met, the UE can obtain a second system information from the neighbor base station, indicating the UE has performed handover to the neighbor base station.

Abstract: An electronic device such as a cellular telephone or other device may have a housing with front and rear faces joined by a sidewall. A display may be mounted on the front face. The electronic device may include multiple ambient light sensors such as a front ambient light sensor on the front face and one or more supplemental ambient light sensors on the rear face and/or on the sidewall. The front ambient light sensor gathers a front ambient light intensity measurement and the supplemental ambient light sensor gathers a supplemental ambient light intensity measurement. During operation, control circuitry in the electronic device adjusts the display brightness based on data from the ambient light sensors. The control circuitry may implement power saving restrictions that limit when the supplemental ambient light intensity measurement is taken into account and/or that impose a brightness cap on the display brightness.

Abstract: A system and a method are disclosed for providing recommendations for sets of security operations for improving security of documents created or executed within an online document system. A supplier entity may select sets of security operations to be performed for a request provided to a signing entity. The online document system computes an aggregate measure of security for the selected sets of security operations and compares it to a threshold measure of security. If the aggregate measure is less than the threshold measure, the online document system uses a machine-learned model to identify additional sets of security operations that when added, results in an updated aggregate measure of security greater than the threshold. The additional sets of security operations are presented to the supplier entity for inclusion within a security operation workflow in combination with the selected sets of security operations.

Abstract: In a method for labeling nutritional parameters a processor receives a food order. The food order a first user profile identifying user preferences. A processor tracks preparation specifics of the food order. A processor determines a custom label for the food order based on the first user profile and the preparation specifics.

Abstract: Systems and methods for forecasting cashflows across one or more accounts of a user disclosed. One example method may include retrieving a data set for each of a plurality of accounts from a database, constructing a graph including a plurality of nodes linked together by a multitude of edges, wherein each node identifies a time series value corresponding to one of the accounts, and each edge indicates a time series value of a corresponding set of transactions occurring between a corresponding pair of accounts, determining a plurality of constraints, determining a specified loss function based on the plurality of constraints, back-propagating a derivative of the specified loss function into a deep neural network (DNN) to determine a set of neural network parameters, forecasting, using the DNN, a time sequence for one or more of the nodes and one or more of the edges, and providing the forecasted time sequences to the user.

Abstract: In some examples, a system may receive, from at least one camera of a vehicle, at least one image including a road. The system may further receive vehicle location information including an indication of a location of the vehicle. In addition, the system may receive at least one of historical information from a historical database, or road anomaly information, where the road anomaly information is determined from at least one of a road anomaly database or real-time road anomaly detection. Based on the at least one image, the indication of the location of the vehicle, and the at least one of the historical information or the road anomaly information, the system may generate at least one of a disparity map or a disparity image.

Abstract: A method and network device for network traffic flooding. Specifically, the method and network device disclosed herein implement the mitigation of the lack of data-link layer (or L2 ) addressing resolutions, usually learned by or programmed manually into the network device, through the flooding of affected network traffic across identified network broadcast domains. Flooding of the network traffic in the aforementioned manner may ensure that at least the destination(s) of the network traffic receives the network traffic at least in scenarios where which it is unknown out of which particular physical network interface(s) should the network traffic be transmitted to reach the destination(s).

Abstract: A system and method for monitoring operations and detecting failures of a plurality of connected devices installed on a premises determines the correct vendor for failure resolution and provides the vendor with a secure and limited mechanism to access assigned devices remotely for servicing. The system limits vendor access to only devices configured on a respective virtual network provisioned in a container provided on a network monitoring device.

Abstract: In one embodiment, a service tracks performance of a machine learning model over time. The machine learning model is used to monitor one or more computer networks based on data collected from the one or more computer networks. The service also tracks performance metrics associated with training of the machine learning model. The service determines that a degradation of the performance of the machine learning model is anomalous, based on the tracked performance of the machine learning model and performance metrics associated with training of the model. The service initiates a corrective measure for the degradation of the performance, in response to determining that the degradation of the performance is anomalous.

Abstract: A data receiving method, a terminal device, and a system are provided. The terminal device can be connected to an external antenna device, and when the terminal device is connected to the external antenna device, first antennas of the terminal device and second antennas of the external antenna device form a MIMO antenna array. The method includes: acquiring, by the terminal device, first data received by at least one of the first antennas and a composite signal sent by the external antenna device; demultiplexing the composite signal by a demultiplexer to obtain second data corresponding to at least one of the second antennas; and processing the first data and the second data by a processor, so as to obtain target data.

Abstract: An inventory tracking system includes storage modules that hold one or more items. Each item is positionable at locations within the storage modules independent of physical characteristics of the item. Inventory monitoring modules are included to monitor storage modules for adding an item, retrieving an item, consuming of the item, returning an unused item, discarding at least a portion of a consumed item, or combinations thereof. Each act is used to determine information about items utilized in the act, including the location within the storage modules of the items. Each storage module updates a central inventory database about a location of the storage module, a revised inventory of the items stored within the storage modules, or both. The location of the storage modules, the revised inventory of the items stored within the storage modules, or both, is used to order a replenishment of the items held within the storage modules.

Abstract: Techniques are provided for radio frequency (RF) sensing using a single wireless device. An example method for determining a distance to an object with radio frequency sensing includes transmitting a radio frequency signal with a transmit channel on a wireless device, receiving a leakage signal with a receive channel on the wireless device at a first time, such that the leakage signal is based on the radio frequency signal, receiving a reflected signal with the receive channel on the wireless device at a second time, such that the reflected signal is based on the radio frequency signal reflecting from the object, and determining the distance to the object based at least in part on a difference between the first time and the second time.

Abstract: A method and system for obtaining an identifier from an item is disclosed. The method includes autonomously operate a robotic structure to move an item along a predetermined path from a source location to a destination location, and autonomously operating the robotic structure to place the item at the destination location based at least in part on the plan. The item comprises one or more identifiers, and in response to a determination that at least one of the one or more identifiers was not obtained by one or more sensors, an active measure is performed to cause the one or more sensors to obtain the at least one identifier that was not obtained. The predetermined path corresponds to a path along which the item is moved from the source location to the destination location. The predetermined path is planned so that the item is moved within a threshold range of the one or more sensors while the item is moved along the predetermined path.

Abstract: A method for performing multi-functional image restoration by an electronic device with a trained Machine Learning (ML) model is provided. The method includes receiving an image and determining channels of the image, and determining whether a number of restructuring needed for the channels is one. When the restructuring needed for the channels not one, then the method includes restructuring each channel into a first channel set, generating first inferences of the image corresponding to each channel by feeding the first channel set to the trained ML model, and generating a final inference image by combining the first inferences. When the number of restructuring needed for the channels is one, then the method includes restructuring the channels into a second channel set, and generating a second inference of the image by feeding the second channel set to the trained ML model.