Abstract: In certain embodiments, a system, a computer-implemented method, and computer-readable medium for generating multispectral imaging (MSI) based on performing an analytical MSI operation are described. The analytical MSI operation includes synchronizing a scan of a target by a broadband imaging device with a generation of a plurality of light signals, from a plurality of broadband illumination sources, directed towards the target. A set of spectral information associated with the target is generated, based on the scan of the target with the broadband imaging device. A set of multispectral imaging (MSI) information associated with the target is generated, based on performing an MSI operation using at least the set of spectral information. Ophthalmic information is determined based on the set of MSI information.

Abstract: Disclosed herein are embodiments of matrixes made of a porous size exclusion support and a cationic moiety for separating one or more small molecules from one or more large molecules in a sample using differences in one or more properties such as the size of the molecules, charge of the molecules, the isoelectric point (pI) of the molecules, and/or any combination of these properties including methods, systems, and kit embodiments. Also disclosed herein are embodiments of a method of making the matrixes and using the matrixes for separating small molecules from one or more large molecules in a sample.

Abstract: Methods, apparatus, and processor-readable storage media for security-based image classification using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining one or more images; extracting text from at least a portion of the one or more images by processing the one or more images using at least a first set of one or more artificial intelligence techniques; classifying at least one of the one or more images, into one or more of multiple security-based classification categories, by processing at least a portion of the extracted text using at least a second set of one or more artificial intelligence techniques; and performing one or more automated actions based at least in part on the classifying of the at least one of the one or more images.

Abstract: A method for evaluating a risk of a subject getting a specific disease includes steps of: storing a reference database that contains original parameter sets; selecting target alleles from an SNP profile derived from genome sequencing data of a subject; selecting target parameter sets from among the original parameter sets; calculating, for each of the target parameter sets, a race factor based on a global risk allele frequency and a group-specific risk allele frequency included in the target parameter set; calculating a genetic factor based on statistics, global reference allele frequencies, the race factors for the target parameter sets, and numbers of chromosomes in homologous chromosome pairs included in the target parameter sets; calculating a citation factor based on numbers of citation times included in the target parameter sets; and calculating a risk score based on the genetic factor and the citation factor.

Abstract: We describe, herein, a new class of controlled fusion machines that are expected to successfully implement confinement of the hot plasma using a set of electric and magnetic fields. It includes usage of electrostatic charges along with a large ratio of the concentration of positively charged nuclei to the concentration of negatively charged electrons. It would lead to a stable steady state with a very high Q value that is expected to be orders of magnitude higher than achieved so far by any of the controlled fusion machines. Even though usage of superconductors or near superconductors is not necessary to achieve this performance, it is desirable to use superconductors for optimal performance. So, in some of the preferred embodiments of the invention, superconductor or near superconductor structures are built into the design of the machine itself, even though, it is possible to just use superconductors or near superconductors as stand-alone components in the machine.

Abstract: In one aspect, an example method in connection with a shared content viewing session in which multiple users are receiving and viewing respective instances of the same media content in a synchronized manner is disclosed. The example method includes (i) detecting that each of the multiple users respectively exhibits a threshold extent of physical reaction around the same time; (ii) responsive to the detecting, for each of the multiple users, generating and/or storing respective visual content representing that user's physical reaction; (iii) generating a visual content composition that includes at least the generated and/or stored visual content for each of the multiple users; and (iv) outputting for presentation, the generated visual content composition.

Abstract: A system for inoculating a computer network against malware is described. Specifically, environmental indicators used by anti-analysis and target filtering mechanisms of a malware program may be determined based on analysis within a virtual or physical sandbox environment. The environmental indicators may be sent to computing devices associated with the computing network. The malware program, based on the environmental indicators, may be spoofed to assume that a computing device is associated with an anti-malware system, and/or is a device that is not to be infected. Based on this assumption, the malware program may not execute within the computing device.

Abstract: A system including a plurality of processor cores, a plurality of graphics processing units, a plurality of peripheral circuits, and a plurality of memory controllers is configured to support scaling of the system using a unified memory architecture.

Abstract: The present invention relates to nimbolide analogs useful as anti-cancer agents and preparation thereof. Particularly the present invention relates to nimbolide analogs of general formula I. wherein, ring M is any ring selected from the group consisting of substituted or unsubstituted aryl, heteroaryl, cycloalkyl and heterocyclic; A and B are selected from the group consisting of C, O, N, S and H; R1, R2, R3, R4, R5 and R6 are selected from the group consisting of C1-C6 alkyl, aryl, heteroaryl, C1-C7 cycloalkyl, heteroalkyl, hydrogen, hydroxy, alkoxy, nitro, halogen, amino, alkylamino, aryl amino and cyano; wherein each of these groups may be further substituted with one or more substituents selected from the group consisting of hydrogen, hydroxy, halogen, cyano, alkyl amino, aryl amino, alkoxy, amino, nitro, aldehyde, carboxylic acid and ester.

Abstract: A trunk route aircraft has at least one wing for supporting the aircraft during flight, and at least one propulsor for forward propulsion of the aircraft. The trunk route aircraft further includes a pressurized trunk route fuselage having a double-bubble cross-sectional shape and a generally vertically-oriented longitudinal bulkhead dividing the trunk route fuselage interior into two side-by-side trunk route payload compartments. The longitudinal bulkhead is loaded in tension when the trunk route fuselage is pressurized. The trunk route payload compartments are each configured to receive a plurality of lightweight ISO (International Organization for Standardization) geometry containers arranged end-to-end, or a plurality of container inserts arranged end-to-end, each container insert also configured to be received within the lightweight ISO-geometry container, or a combination of one or more lightweight ISO-geometry containers and one or more container inserts arranged end-to-end.

Abstract: A system and method of assessing vision quality of an eye is presented, with a controller having a processor and tangible, non-transitory memory on which instructions are recorded. The controller is configured to selectively execute at least one machine learning model. Execution of the instructions by the processor causes the controller to: receive wavefront aberration data of the eye and express the wavefront aberration data as a collection of Zernike polynomials. The controller is configured to obtain a plurality of input factors based on the collection of Zernike polynomials. The plurality of input factors is fed into the at least one machine learning model, which is trained to analyze the plurality of input factors. The machine learning model generates at least one vision correction factor based in part on the plurality of input factors.

Abstract: A computer implemented method converts an interest in an item into a set of purchasing options. A computer system detects the interest in the item viewed by a potential customer outside of a sales channel using real time user data from a user computing device. The computer system locates the item offered by a set of online sellers using an image of the item in response to detecting the interest in the item. The computer system determines a set of purchasing options to purchase the item. The computer system sends the set of purchasing options to purchase the item to the user computing device for presentation on the user computing device. According to other illustrative embodiments, a computer system and a computer program product for converting an interest in an item into a set of purchasing options are provided.

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 crystalline 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, wherein 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.

Abstract: An appliance air freshener having a frame and an air freshener medium. The frame defines an enclosure having a first face, and a second face opposite and spaced from the first face. The first face and the second face form an outer perimeter of the enclosure. The frame also defines a passage located within and spaced from the outer perimeter and extending along a passage axis from the first face to the second face. The air freshener medium is located within the enclosure.

Abstract: Apparatuses, methods, and computer program products are provided for improved model compliance. An example method includes receiving a product model that is generated from user data associated with a plurality of users and receiving a first regulation offending model that is non-compliant with respect to a first regulatory factor. The method also includes analyzing the product model with the first regulation offending model and generating a first regulation compliance score for the product model with respect to the first regulatory factor. The method further includes determining whether the first regulation compliance score satisfies a first regulatory factor threshold. In an instance in which the first regulation compliance score fails to satisfy the first regulatory factor threshold, the method includes generating a first violation notification or modify the product model.

Abstract: A system and method of automated driver selection is disclosed. A plurality of driver profiles and a first order are received. Each of the driver profiles includes at least one driver parameter. The first order includes at least one order parameter. A driver score is calculated for each of the plurality of driver profiles for the first order. The driver score is calculated based on the at least one driver parameter and the at least one order parameter. Each driver profile is ranked based on the calculated driver score and a first delivery assignment request is transmitted to a system associated with a first-ranked driver profile. A response is received to the first delivery assignment request.

Abstract: A method, apparatus, and computer-readable medium are described that enable agent instances to be instantiated in secure, containerized environments. When a new container is detected, a list of agent instances expected to be running in a compute instance or in a container may be obtained and compared with status information regarding which agent instances are active. For a non-active agent instance, an agent object and configuration information for the agent instance may be obtained from a storage. Based on the available name, the agent object, and the configuration information, the agent instance may be instantiated and connected to an agent status server. An application related to the new agent instance may be deployed in the secure containerized environment.

Abstract: Particular embodiments disclosed herein provide an alignment guide for aligning a toric IOL during surgery. An image with a reference axis is obtained, such as from a digital microscope, and processed, such as using an autoencoder, to label alignment marks on the IOL and possibly other features of the IOL. The label is processed, such as using a logistic regression model, to estimate an IOL axis of the IOL intersecting the alignment marks. An output image is generated from the image that has superimposed thereon guides to a surgeon, such as a line representing the IOL axis, a rotation direction indicator, and a number or other representation of a difference between the reference axis and the IOL axis. Tracking of features of the IOL may be performed across multiple images to predict the location of features not represented in a particular image.

Abstract: Automated techniques for converting network devices from a Layer 2 (L2) network into a Layer 3 (L3) network in a hierarchical manner are described herein. The network devices may be configured to boot such that their ports are in an initialization mode in which the ports are unable to transmit locally generated DHCP packets. When a network device detects that a neighbor (or “peer”) device has acquired an IP address or has been configured by a network controller, then the port on which the neighbor device is detected can then be transitioned from the initialization mode into a forwarding mode. In the forwarding mode, the port can be used to transmit packets to obtain an IP address. Thus, the network devices are converted from an L2 device to an L3 device in a hierarchical order such that upstream devices are discovered and converted into L3 devices before downstream devices.