Abstract: A chip card including a card body including a metal layer, an RF chip, and a first RF antenna placed in a cut-out zone and connected to the chip. The metal layer has two regions, the first region completely containing the cut-out zone. A first slit connects the cut-out zone to an edge of the first region, a second slit opens onto an edge of the layer or into the cut-out zone and ends in the second region. A second RF antenna allows coupling to the first antenna. The chip card includes at least one turn facing the first slit and at least one turn facing the second slit.

Abstract: Systems and methods for handling processing with sparse weights and outliers. In some embodiments, the method includes reading a first activation from a first row of an array of activations; multiplying a first weight by the first activation to form a first product; directing, by a first demultiplexer, the first product to a first adder tree, of a plurality of adder trees; reading a second activation from a second row of the array of activations; and multiplying a second weight by the second activation.

Abstract: A process for converting a feedstock including dicyclopentadiene to monoaromatic hydrocarbons, the process including providing a hydrocracking catalyst including a zeolite support having an average pore diameter of 5 to 13 nanometers, such as 9 to 12 nanometers, and greater than 3 to 15 weight percent, such as 5 to 15 weight percent of molybdenum tungsten, nickel, cobalt, platinum, palladium, or a combination comprising at least one of the foregoing impregnated on the zeolite support based on a total weight of the hydrocracking catalyst: and contacting the feedstock with the hydrocracking catalyst in the presence of hydrogen to provide a reaction product stream including the monoaromatic hydrocarbons converted from the dicyclopentadiene.

Abstract: A system includes a first tubular body deployed within a second tubular body, a scanner tool, and an electronically conductive cable. The scanner tool is movably disposed around the outer circumferential surface of the first tubular body and located within an annulus. The scanner tool includes a tool housing, a conduit, and calipers. The tool housing has a housing outer surface and a housing inner surface. The conduit is defined by the housing inner surface. The first tubular body extends therein. The calipers are distributed around the housing outer surface. The calipers are configured to measure well data. The electronically conductive cable is connected to the tool housing and is configured to transmit the well data between the scanner tool and a computer located at a surface location. The electronically conductive cable is further configured to move the scanner tool up hole and downhole along the first tubular body.

Abstract: A smart card including a card body having a metal layer including a recess area which opens onto a peripheral edge of the metal layer, an RF chip, a first RF antenna connected to the RF chip and disposed in or facing the recess area, and a second RF antenna electrically insulated from the metal layer and from the first RF antenna. The second RF antenna includes a first antenna part extending facing the metal layer to collect an image current induced by first eddy currents flowing in the metal layer, and a second antenna part electrically connected to the first antenna part and extending facing the recess area to allow a magnetic coupling between the first RF antenna and the second RF antenna.

Abstract: A method for chemically reducing carbon dioxide (CO2) with a red mud catalyst composition is provided includes introducing a gaseous mixture of CO2 and H2 into a reactor containing particles of the red mud catalyst composition. The method further includes reacting at least a portion of the CO2 and H2 in the gaseous mixture in the presence of the red mud catalyst composition at a temperature of 200 to 800° C., and under a pressure ranging from 5 to 100 bar to form a gaseous product including a chemical reduction product of the CO2. A volume ratio of the CO2 to the H2 in the gaseous mixture is in a range of 1:10 to 10:1.

Abstract: A method of processing a mammogram image, including receiving a digital mammography image of a breast of a patient, and separating the digital mammography image into three channels. The method includes removing noise and uneven illumination to form a first set of three uniform background images, and separating a luminance channel and a chrominance channel from the first set with a transfer function to form a second set of three uniform background images. The method includes applying principal component analysis to the second set; and assembling a single grayscale image and applying a first subspace projection. The method includes removing at least a portion of a pectoral muscle from the grayscale image, and normalizing the muscle removed image using a second order Gaussian Laplacian and an oriented diffusion filter to form a processed image. The method includes identifying cancerous and/or noncancerous regions in the processed image.

Abstract: A compound N?-[(2-chlorobenzoyl)oxy]-1,3-benzothiazole-2-carboximidamide, its synthesis, and its use as an anticancer and/or antimicrobial agent.

Abstract: A chipcard having a card body formed by at least one dielectric layer and one metal layer, the metal layer comprising a cavity and an outline, the metal layer further comprising a slit, the card further comprising an antenna extending in the cavity. The card further includes at least one metal label at least partially covering the cavity and the antenna, the label being fixed onto one of the faces of the card, the metal label comprising a metal layer comprising a pattern comprising a first part formed by first etched metal lines delimiting at least one zone that is at least partially of metal, and a second part composed of second etched metal lines forming only open loops.

Abstract: Disclosed are methods, devices, and computer-readable media for detecting lanes and objects in image frames of a monocular camera. In one embodiment, a method is disclosed comprising receiving a plurality of images; identifying a horizon in the plurality of images by inputting the plurality of images into a deep learning (DL) model (either stored on a local device or via a network call); determining one or more camera parameters based on the horizon; and storing or using the camera parameters to initialize a camera.

Abstract: A LIDAR system and a method for detecting objects are disclosed. The LIDAR system has a controller configured to acquire a plurality of data points representative of detected signals, and perform an iterative process. During the first iteration the controller is configured to determine a first number of bins based on the plurality of data points, and in response to the first number being above a threshold: (i) organize the plurality of data points into the first number of bins, (ii) identify a target bin amongst the first number of bins, (iii) determine the distance of a first object based on the target bin; and (iv) determine a reduced plurality of data points based on the plurality of data points, which excludes data points associated with the target bin. During a second iteration, the controller determines a distance of a second object based on the reduced plurality of data points.

Abstract: Provided is a chimeric target factor receptor capable of activating an antigen-presenting cell such as a dendritic cell in a target-factor-specific manner. The chimeric target factor receptor contains a target factor-binding domain, a transmembrane domain, and an intracellular domain containing a TLR intracellular domain.

Abstract: Sparsity-aware reconfiguration compute-in-memory (CIM) static random access memory (SRAM) systems are disclosed. In one aspect, a reconfigurable precision succession approximation register (SAR) analog-to-digital converter (ADC) that has the ability to form (n+m) bit precision using n-bit and m-bit sub-ADCs is provided. By controlling which sub-ADCs are used based on data sparsity, precision may be maintained as needed while providing a more energy efficient design.

Abstract: An electronic device may be provided with peripheral conductive housing structures, a first antenna, and a second antenna. A gap may divide the housing structures into a first segment forming an arm of the first antenna and a second segment forming an arm of the second antenna. A first feed terminal may be coupled to the first segment and a second feed terminal may be coupled to the second segment. Switchable components may be coupled in parallel between the first and second feed terminals across the gap. The switchable components may be adjusted to tune the frequency response of the first and/or second antenna. The switchable components may have a first state in which only the first feed terminal feeds the first antenna and may have a second state in which both the first and second feed terminals feed the first antenna.

Abstract: A compound 1,3-benzothiazol-2-yl-N?-[(pyridine-3-carbonyl)oxy]ethanimidamide, its synthesis, and its use as an anticancer and/or antimicrobial agent.

Abstract: Methods for stimulating the growth, yield, and secondary metabolite production of Curcuma longa plants are provided. Administration of between about 2.5 mg/L and about 10 mg/L Moringa oleifera extract to Curcuma longa plants results in increased plant growth, rhizome production, and production of secondary metabolites including curcuminoids.

Abstract: A method, system, and storage medium are provided. The method may include receiving, by a network repository function (NRF), registration information of each of a plurality of network functions (NFs), determining, by the NRF, load balance prioritization information for the plurality of NFs based on the received registration information, and transmitting, by the NRF to a service mesh control plane, the load balance prioritization information. The service mesh control plane may be configured to perform load balancing on the plurality of NFs based on the load balance prioritization information.

Abstract: A processor to perform inference on deep learning neural network models. In some embodiments, the process includes: a first tile, a second tile, a memory, and a bus, the bus being connected to: the memory, the first tile, and the second tile, the first tile including: a first weight register, a second weight register, an activations cache, a shuffler, an activations buffer, a first multiplier, and a second multiplier, the activations buffer being configured to include: a first queue connected to the first multiplier, and a second queue connected to the second multiplier, the activations cache including a plurality of independent lanes, each of the independent lanes being randomly accessible, the first tile being configured: to receive a tensor including a plurality of two-dimensional arrays, each representing one color component of the image; and to perform a convolution of a kernel with one of the two-dimensional arrays.

Abstract: The devices and methods can prevent pulmonary aspiration thereby allowing for procedures, such as an endoscopic procedure, to be performed under sedation without general anesthesia. The device may include a first end, a second end, and a length therebetween. The body may have a central lumen along the length. The device may include a first base member fixedly disposed at the first end and a second base member fixedly disposed at the second end. The device may also include an expandable assembly movable along the length of the body with respect to the first base member. The expandable assembly may be configured to move between a collapsed configuration and an expanded configuration. The expandable assembly may also be configured to expand radially with respect to the body when in the expanded configuration.

Abstract: Disclosed are methods, devices, and computer-readable media for detecting lanes and objects in image frames of a monocular camera. In one embodiment, a method is disclosed comprising receiving a plurality of images; identifying a horizon in the plurality of images by inputting the plurality of images into a deep learning (DL) model (either stored on a local device or via a network call); determining one or more camera parameters based on the horizon; and storing or using the camera parameters to initialize a camera.