Abstract: A method for converting natural gas and carbon dioxide into hydrogen and carbon monoxide using a Ni—Al2O3 catalyst. In one embodiment, the method includes using a dual-mode cyclic reactor. Moreover, the disclosed technology relates to a catalyst, its preparation method, and the process of converting natural gas with carbon dioxide to hydrogen (H2) and carbon monoxide (CO). The catalyst is used in a cyclic reactor system process that contains two modes of operation (Mode I and Mode II) and two different feeds (Feed A and Feed B), one per mode of operation. Feed A can be a methane, or methane-rich stream. Feed B is specified to be a carbon dioxide, or carbon dioxide-rich stream.

Abstract: A process is provided that can convert the available CO2 stream (from any captured source) and CH4 (or natural gas, or hydrocarbon gas) stream to separated streams of CO and H2. Multiple options exist for utilization. Synthesis gas can be integrated with an existing syngas facility or combined with H2 from an electrolyze to make methanol or FT synthesis to make liquid fuels. When operating the process with separated H2 and CO streams. These can be integrated into different chemical processes and not necessarily mixed together. For example, H2 can be sold as a product, and CO can be used as a feedstock to make chemicals. The present disclosure is a desirable add-on to an industrial facility to process CO2 emission into the value stream.

Abstract: A method implemented by a first device to share at least one resource element within a wireless communication network, the resource element belonging to a first set of radio resources allocated to the first device within a resource pool, the first device using a device-to-device communication within the wireless communication network, and wherein the first device emits, through the device-to-device communication, an indication that the resource element is available for sharing.

Abstract: A system for virus detection in a sample from a subject includes a microchip comprising at least one channel containing the sample from the subject and a mobile device. The sample is processed with nanoparticles and a catalyzer that are configured to generate gas bubbles in the presence of a target virus on a surface of the microchip. The mobile device includes a camera configured to acquire an image of the microchip containing the sample from the subject, a neural network configured to receive the acquired image and to generate a probability regarding the presence of the target virus in the sample from the subject based on the acquired image, and a display coupled to the neural network and configured to display the probability regarding presence of the target virus in the sample from the subject.

Abstract: The disclosure relates to a method for providing assistance information on the quality of at least one communication channel between a first device and a target group of second devices in a device-to-device communication system. Among the second devices of the target group, at least one candidate is selected based on at least one criterion related to a communication condition related to at least one second device of the target group. At least one selected candidate transmits assistance information that is representative at least of the quality of the communication channel between the first device and said at least one candidate. The disclosure further relates to corresponding communication systems, second devices, computer programs, computer-readable storage media and processing circuits.

Abstract: Provided herein are compounds, compositions, and methods for the treatment of wastewater. Provided herein are compounds, composites, compositions, and methods for purifying a medium such as wastewater, saline for desalination, and petroleum wastes.

Abstract: A computer aided diagnostic system and automated method to classify a kidney utilizes medical image data and clinical biomarkers in evaluation of kidney function pre- and post-transplantation. The system receives image data from a medical scan that includes image data of a kidney, then segments kidney image data from other image data of the medical scan. The kidney is then classified by analyzing at least one feature determined from the kidney image data and the at least one clinical biomarker.

Abstract: Set forth herein is a Fischer-Tropsch catalytic system that allows for the efficient and selective conversion of syngas to useful hydrocarbons (nC4-nC24) as well as heavy alcohols (nC1-nC9) under ambient conditions. The instantly disclosed catalytic system is more practical and scalable than other known Fischer-Tropsch catalytic systems. Also set forth herein new catalysts which comprise supported metal-oxide-based catalysts. These catalysts are useful for the conversion of syngas into liquid hydrocarbon fuels under ambient reaction conditions. The instantly disclosed catalytic system can be made in a one-pot high mass production method, which is commercially practical and scalable. A variety of reaction products can be produced by making minor adjustments to the processes disclosed herein, e.g., by adjusting catalyst composition, reaction temperature and/or reaction pressure. The instantly disclosed process(es) produce Fischer-Tropsch products, heavy hydrocarbons (e.g.

Abstract: A system that monitors particle motion behavior for point-of-care diagnostics is described. The system can include a sample testing unit configured to house a sample. The sample testing unit can include a plurality of motor structures configured for self-propulsion based on a presence or an absence of a target analyte in the sample and a plurality of beads configured to experience a motion behavior based on the self-propulsion of the plurality of motor structures. Each of the plurality of motor structures can include a catalytic motor-like micro/nanoparticle; and an attached functional material specific for the target analyte attached to the catalytic motor-like particle. The optical recording unit can include an optical arrangement configured to detect the motion behavior of the beads in the sample testing unit. The motion behavior can be indicative of the presence or the absence of the target analyte.

Abstract: Provided herein are compounds, compositions, and methods for the treatment of wastewater. Provided herein are compounds, composites, compositions, and methods for purifying a medium such as wastewater, saline for desalination, and petroleum wastes.

Abstract: A computer aided diagnostic system and automated method to classify a kidney. Image data for a medical scan that includes image data of a kidney may be received. The kidney image data may be segmented from other image data of the medical scan. One or more iso-contours may be registered for the kidney image data, and renal cortex image data may be segmented from the kidney image data based on the one or more registered iso-contours. The kidney may be classified by analyzing one or more features determined from the segmented renal cortex image data using a learned model associated with the one or more features.

Abstract: A computer aided diagnostic system and automated method to classify a kidney utilizes medical image data and clinical biomarkers in evaluation of kidney function pre- and post-transplantation. The system receives image data from a medical scan that includes image data of a kidney, then segments kidney image data from other image data of the medical scan. The kidney is then classified by analyzing at least one feature determined from the kidney image data and the at least one clinical biomarker.

Abstract: A computer aided diagnostic system and automated method to classify a kidney. Image data for a medical scan that includes image data of a kidney may be received. The kidney image data may be segmented from other image data of the medical scan. One or more iso-contours may be registered for the kidney image data, and renal cortex image data may be segmented from the kidney image data based on the one or more registered iso-contours. The kidney may be classified by analyzing one or more features determined from the segmented renal cortex image data using a learned model associated with the one or more features.

Abstract: A computer aided diagnostic system and automated method to classify a kidney. Image data for a medical scan that includes image data of a kidney may be received. The kidney image data may be segmented from other image data of the medical scan. One or more iso-contours may be registered for the kidney image data, and renal cortex image data may be segmented from the kidney image data based on the one or more registered iso-contours. The kidney may be classified by analyzing one or more features determined from the segmented renal cortex image data using a learned model associated with the one or more features.

Abstract: A system for detecting a class of objects at a location, for example humans on a conveyor belt. A thermal camera may be used to detect objects and to detect the variance of the heat distribution of objects to classify them. Objects detected in an image from one camera may be detected in an image from another camera using geometric correction. A color camera may be used to detect the number of edges and the number of colors of an object to classify it. A color camera may be used with an upright human body classifier to detect humans in an area, and blobs corresponding to the detected humans may be tracked in a thermal or color camera image to detect if a human enters an adjacent forbidden area such as a conveyor belt.

Abstract: A computer aided diagnostic system and automated method to classify a kidney. Image data for a medical scan that includes image data of a kidney may be received. The kidney image data may be segmented from other image data of the medical scan. One or more iso-contours may be registered for the kidney image data, and renal cortex image data may be segmented from the kidney image data based on the one or more registered iso-contours. The kidney may be classified by analyzing one or more features determined from the segmented renal cortex image data using a learned model associated with the one or more features.

Abstract: Here, we describe a preassembled plasmonic resonance nanocluster. One embodiment is used for microbe detection and typing. The metallic nanoparticle acceptors with microbe surface antigen epitope, and quantum dot (QD) donors with Fab antibody, are assembled into an immuno-mediated 3D-oriented complex with enhanced energy transfer and fluorescence quenching. The coherent plasmonic resonance between the metal and QD nanoparticles is exploited to achieve improved donor-acceptor resonance within the nanocluster, which in the presence of microbial particles is disassembled in a highly specific manner. The nanocluster provides high detection specificity and sensitivity of the microbes, with a sensitivity limit down to 1-100 particles per microliter and to attomolar levels of a surface antigen epitope. A few specific examples of the plasmonic resonance nanocluster used in microbe detection are disclosed along with ways in which the complex can be easily modified for additional microbes.

Abstract: A system for detecting a class of objects at a location, for example humans on a conveyor belt. A thermal camera may be used to detect objects and to detect the variance of the heat distribution of objects to classify them. Objects detected in an image from one camera may be detected in an image from another camera using geometric correction. A color camera may be used to detect the number of edges and the number of colors of an object to classify it. A color camera may be used with an upright human body classifier to detect humans in an area, and blobs corresponding to the detected humans may be tracked in a thermal or color camera image to detect if a human enters an adjacent forbidden area such as a conveyor belt.

Abstract: A method for determining the presence and location of static shadows and other ambient conditions (such as glare, snow, rain, etc.) in a series of time-successive images is provided. Each image comprises a series of image elements locatable on a plane, with each element being associated with a color defined by three chromatic elements. Furthermore, each image is partitioned into a set of elements, with each element comprising one or more pixels. According to the process of the present method, the ambient conditions are detected using a mixture of processes which utilize the chromatic elements, luminance qualities and temporal characteristics of the series of images.

Abstract: A method for determining the presence and location of static shadows and other ambient conditions (such as glare, snow, rain, etc.) in a series of time-successive images is provided. Each image comprises a series of image elements locatable on a plane, with each element being associated with a color defined by three chromatic elements. Furthermore, each image is partitioned into a set of elements, with each element comprising one or more pixels. According to the process of the present method, the ambient conditions are detected using a mixture of processes which utilize the chromatic elements, luminance qualities and temporal characteristics of the series of images.