Abstract: Example methods, apparatus, and articles of manufacture to classify labels based on images using artificial intelligence are disclosed. An example apparatus includes a regional proposal network to determine a first bounding box for a first region of interest in a first input image of a product; and determine a second bounding box for a second region of interest in a second input image of the product; a neural network to: generate a first classification for a first label in the first input image using the first bounding box; and generate a second classification for a second label in the second input image using the second bounding box; a comparator to determine that the first input image and the second input image correspond to a same product; and a report generator to link the first classification and the second classification to the product.

Abstract: The arrangement includes a latch pivotally mounted to cooperate with a catch, a lock member including a locking ratchet arranged to cooperate with the latch between initial and intermediate locking configurations of the latch, following at least one movement control action of the ratchet by an actuator, an ejector arranged to drive, with the ejection thereof, the pivoting of the latch and the lifting of the hood, the latch and the ejector forming an ejection member of the striker. During the movement of the ratchet from the initial configuration to the final configuration, the lock member is arranged to pivot the ejection member in an ejection direction against the resultant torque of the weight of the hood exerted on the ejector via the striker in order to enable the lifting of the hood.

Abstract: A floating platform for high-power wind turbines, comprising a concrete substructure, said concrete substructure forming the base of the platform, which remains semi-submerged in the operating position, and consisting of a square lower slab on which a series of beams and five hollow reinforced concrete cylinders are constructed, distributed at the corners and the center of said lower slab; a metal superstructure supported on the concrete substructure and forming the base for connection with the wind turbine tower, said tower being coupled at the center thereof; and metal covers covering each of the cylinders, on which the metal superstructure is supported and to which vertical pillars are secured, linked together by beams, which join at the central pillar by an element whereon the base of the wind turbine tower is secured.

Abstract: Apparatus and methods for monitoring pregnancy or labour are disclosed. In one embodiment the apparatus includes an electromyography (EMG) sensor having two or more EMG electrodes to monitor fetal or maternal activity during pregnancy or labour and one or more position sensors to monitor the relative positioning of the two or more EMG electrodes during the fetal or maternal activity. In one embodiment, the apparatus includes a monitoring device to be placed on a body and having a plurality of sensors integrated into the monitoring device, the plurality of sensors including at least: a first sensor configured to detect a first type of signal from the body indicative of a first type of fetal or maternal activity during pregnancy or labour; and a second sensor configured to detect a second type of signal from the body, different from the first type of signal, also indicative of the first type of fetal or maternal activity during pregnancy or labour.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed that determine related content.

Abstract: A liquid pharmaceutical formulation comprising etoposide toniribate; a polysorbate; and ethanol. A method of preparing an infusion solution comprising diluting said liquid pharmaceutical formulation. Said composition or solution for use in treating cancer in a patient in need thereof.

Abstract: A packet is received by a hypervisor from a first container, the packet to be provided to a second container, the packet including a header including a first network address associated with the second container. A network policy is identified for the packet in view of the first network address. A second network address corresponding to the second container is determined in view of the network policy. A network address translation is performed by the hypervisor to modify the header of the packet to include the second network address corresponding to the second container.

Abstract: The present disclosure provides for a system ensuring the integrity of received data. The system includes a processor, a trusted platform module, and a memory storing instructions. Upon a request from the processor, the trusted platform module generates an asymmetric key pair including a private key and a public key. The trusted platform module provides the public key and an encrypted private key to the processor. The processor generates a checksum of received content data and sends the checksum to the trusted platform module. The processor also loads the encrypted private key into the trusted platform module. The trusted platform module decrypts the encrypted private key, encrypts the checksum with the private key, and provides the encrypted checksum to the processor. The processor sends the content data together with the encrypted checksum to an external device. The external device may decrypt the encrypted checksum with the public key.

Abstract: A packet is received by a hypervisor from a first virtualized execution environment, the packet to be provided to a second virtualized execution environment. It is then determined whether the packet was successfully delivered to the second virtualized execution environment. In response to determining that the packet was not successfully delivered to the second virtualized execution environment, a network policy is identified that indicates whether to subsequently provide the packet to the virtualized execution environment. In response to the network policy indicating that the packet is to be subsequently provided, the packet is provided to the virtualized execution environment again.

Abstract: A container (100) having a first end (102) a second end (104), and a deformable middle portion (106) and methods for manufacturing the container are disclosed. The container has a collapsed configuration and an expanded configuration. The first and second ends are rigid. The container is configured to store cell culture solution powder. Methods and systems (e.g., a dispenser) for creating culture solution using the container are also disclosed.

Abstract: A packet is received by a hypervisor from a first container, the packet to be provided to a second container, the packet including a header including a first network address associated with the second container. A network policy is identified for the packet in view of the first network address. A second network address corresponding to the second container is determined in view of the network policy. A network address translation is performed by the hypervisor to modify the header of the packet to include the second network address corresponding to the second container.

Abstract: Example methods, apparatus, and articles of manufacture to classify labels based on images using artificial intelligence are disclosed. An example apparatus includes a regional proposal network to determine a first bounding box for a first region of interest in a first input image of a product; and determine a second bounding box for a second region of interest in a second input image of the product; a neural network to: generate a first classification for a first label in the first input image using the first bounding box; and generate a second classification for a second label in the second input image using the second bounding box; a comparator to determine that the first input image and the second input image correspond to a same product; and a report generator to link the first classification and the second classification to the product.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for processing an image using visual and textual information. An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry to execute the instructions to detect regions of interest corresponding to a product promotion of an input digital leaflet, extract textual features from the product promotion by applying an optical character recognition (OCR) algorithm to the product promotion and associating output text data with corresponding ones of the regions of interest, determine a search attribute corresponding to the product promotion, generate a first dataset of candidate products corresponding to the product in the product promotion by comparing the search attribute against a second dataset of products, and select a product from the first dataset of candidate products to associate with the product promotion, the product selected based on a match determination.

Abstract: Methods, devices, and graphical user interfaces are provided for providing a user interface based on an identified candidate cell culture media formulation, the user interface comprising a plurality of affordances corresponding to different media attributes of the identified candidate cell culture media formulation and receiving, by the computer, a selection of at least one of the plurality of affordances corresponding to different media attributes of the identified candidate cell culture media formulation. In some embodiments, a selected cell culture is identified based on the selection. Further, some embodiments include providing a plurality of ingredients combinable into a plurality of cell culture media formulations; selecting a subset of the plurality of ingredients based on the selected cell culture media formulation; and preparing the selected cell culture media formulation using the subset of the plurality of ingredients.

Abstract: The present disclosure provides for a system ensuring the integrity of received data. The system includes a processor, a trusted platform module, and a memory storing instructions. Upon a request from the processor, the trusted platform module generates an asymmetric key pair including a private key and a public key. The trusted platform module provides the public key and an encrypted private key to the processor. The processor generates a checksum of received content data and sends the checksum to the trusted platform module. The processor also loads the encrypted private key into the trusted platform module. The trusted platform module decrypts the encrypted private key, encrypts the checksum with the private key, and provides the encrypted checksum to the processor. The processor sends the content data together with the encrypted checksum to an external device. The external device may decrypt the encrypted checksum with the public key.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to allocate accelerator usage. An apparatus to allocate accelerator usage comprises: at least one memory, machine readable instructions, and processor circuitry to at least one of instantiate or execute the machine readable instructions to: store data identifying at least one processing unit in communication with a processing circuitry and at least one class; predict an execution of the at least one processing unit workload based on at least one capability; and schedule which processing unit the workload to run on based on at least one of (i) processor circuitry or (ii) user priority parameters.

Abstract: Embodiments described herein are generally directed to improving predictions regarding workload performance to facilitate dynamic auto device selection. In an example, based on telemetry samples collected from a computer system in real-time and indicative of a state of the computer system, one or more workload performance prediction models are built or updated for a heterogeneous set of computer resources of the computer system with reference to one or more optimization goals. At a time of execution of a workload, a particular computer resource of the heterogeneous set of computer resources on which to dispatch the workload is dynamically determined by: (i) generating multiple predicted performance scores each corresponding to one of the computer resources based on the state of the computer system and the one or more workload performance prediction models; and (ii) selecting the particular computer resource based on the predicted performance scores.

Abstract: A method of treating an episode of acute exacerbation of schizophrenia by intramuscular administration of a long-acting injectable depot composition containing risperidone is provided. The method provides a substantial reduction in PANSS (both positive and negative scales) and CGI-S scores within about eight days after administration of the composition and for up to at least four weeks. The method is used to treat a subject suffering a first-time episode of or a relapse of severe to moderate symptoms associated with schizophrenia. The method does not require loading doses of risperidone in the depot composition and does not require supplementation with oral risperidone after administration of the depot composition.

Abstract: Disclosed is a space cold gas thruster operating with a solid propellant. The cold gas thruster includes a tank suitable for containing a solid propellant and a tank heating device suitable for sublimating the solid propellant and forming gaseous propellant, the tank having an aperture for transferring the gaseous propellant outside the tank, such as a nozzle. Also disclosed is a process for determining the amount of remaining propellant in the propellant tank of the disclosed cold gas thruster.

Abstract: Example methods, apparatus, and articles of manufacture to classify labels based on images using artificial intelligence are disclosed. An example apparatus includes a regional proposal network to determine a first bounding box for a first region of interest in a first input image of a product; and determine a second bounding box for a second region of interest in a second input image of the product; a neural network to: generate a first classification for a first label in the first input image using the first bounding box; and generate a second classification for a second label in the second input image using the second bounding box; a comparator to determine that the first input image and the second input image correspond to a same product; and a report generator to link the first classification and the second classification to the product.