Abstract: An image processing device includes a convolutional neural network (CNN) architecture configured to perform at least one of denoising, deblurring, dehazing, and color correction on an input. The input comprises a plurality of low-quality input images having different exposure values captured for the same object at the same time by a camera under display (CUD) to render a high-quality output image. The CNN architecture is trained using a set of training images including a plurality of low-quality training images having different exposure values and a high-quality training image corresponding to the plurality of low-quality training images.

Abstract: A system can include a first battery module. The system can include a second battery module. The second battery module can have more lithium iron phosphate (LFP) battery cells than the first battery module.

Abstract: Battery charging based on state of health is provided. A state of health if a battery of an electric vehicle is identified. A target state of health is identified based on a life of the battery. An in instruction to charge the battery is conveyed, based on the state of health of the battery and the target state of health for the battery.

Abstract: The present solution provides calibration for a battery model of an electric vehicle battery. One or more processors of an electric vehicle coupled with memory can identify, for the electric vehicle, a model configured to determine performance of a battery of the electric vehicle based on a function. The function can generate values for a parameter of the model across a range of states of charges and a range of temperatures. The one or more processors can generate, based on input from a sensor of the electric vehicle, a value of performance of the electric vehicle via the model. The one or more processors can provide an action for the electric vehicle based on the value of the performance.

Abstract: The present solution is directed to control of maximum current for regenerative charging of an EV battery. A battery management system (BMS) can facilitate, responsive to a first action by an actuator, a discharge of an EV battery. The BMS can identify, responsive to a second action by the actuator, a discharge capacity of the battery corresponding to the discharge associated with the first action. The BMS can determine, responsive to the second action, a temperature measurement and a state of charge measurement of the battery and determine, based on the temperature measurement, the state of charge measurement and the discharge capacity, a derate factor that can be used to modify a current level supplied to the battery during charging of the battery from energy generated responsive to the second action. The BMS can cause the battery to be charged according to the modified current level and the generated energy.

Abstract: An image processing device includes a convolutional neural network (CNN) architecture configured to perform at least one of denoising, deblurring, dehazing, and color correction on an input. The input comprises a plurality of low-quality input images having different exposure values captured for the same object at the same time by a camera under display (CUD) to render a high-quality output image. The CNN architecture is trained using a set of training images including a plurality of low-quality training images having different exposure values and a high-quality training image corresponding to the plurality of low-quality training images.

Abstract: The invention relates to methods and kits for DNA The method comprises a) contacting the sample with a plurality of metal nanoparticles functionalised with one or more RNA probes; b) forming a heteroduplex between the target DNA and RNA probe on an RNA-functionalised metal nanoparticle; c) contacting the heteroduplex of target DNA and RNA probe on the RNA-functionalised metal nanoparticle with an enzyme that cleaves RNA in a DNA-RNA heteroduplex thereby releasing the target DNA; d) repeating steps (b) and (c) until all, or substantially all, of the RNA probes on the plurality of RNA-functionalised metal nanoparticles have been cleaved from the metal nanoparticles; and e) aggregating the metal nanoparticles from which all, or substantially all, of the RNA probes have been cleaved, thereby indicating the presence of the target DNA.

Abstract: A system including a vessel having a vessel body to hold liquid, and an image source having one or more images. The vessel includes one or more partially reflective planar portions to reflect the one or more images of the image source to generate a virtual image within the vessel body based on the one or more images.

Abstract: Disclosed is a virtually renewable electric power-generating system configured to provide an efficient means for generating electricity for charging an electrical energy storage source such as batteries using the same energy storage source to power an electro-mechanical system for generating electricity. Part of the output of the electro-mechanical system for generating electricity is fed back to the energy storage source to recharge the storage source, as well as provide energy to charge a second energy storage system.

Abstract: The present invention is related to methods and kits for the detection of deoxyribonucleic acid (DNA), in particular pathogenic microbial DNA, which provide more simple and sensitive detection of DNA compared to similar methods and kits known in the art.

Abstract: The present invention relates to a logic gate, comprising a metamaterial surface enhanced Raman scattering (MetaSERS) sensor, comprising (a) alphabetical metamaterials in the form of split ring resonators operating in the wavelength range of from 560 to 2200 nm; and (b) a guanine (G) and thymine (T)-rich oligonucleotide that can, upon presence of potassium cations (K+), fold into a G-quadruplex structure, and in presence of Hg2+, form a T-Hg2+-T hairpin complex that inhibits or disrupts the G-quadruplex structure formed in presence of K+, as well as methods of operating and using such a logic gate.

Abstract: The present invention is related to methods and kits for the detection of deoxyribonucleic acid (DNA), in particular pathogenic microbial DNA, which provide more simple and sensitive detection of DNA compared to similar methods and kits known in the art.

Abstract: A system including a vessel having a vessel body to hold liquid, and an image source having one or more images. The vessel includes one or more partially reflective planar portions to reflect the one or more images of the image source to generate a virtual image within the vessel body based on the one or more images.

Abstract: Disclosed is a virtually renewable electric power-generating system configured to provide an efficient means for generating electricity for charging an electrical energy storage source such as batteries using the same energy storage source to power an electro-mechanical system for generating electricity. Part of the output of the electro-mechanical system for generating electricity is fed back to the energy storage source to recharge the storage source, as well as provide energy to charge a second energy storage system.

Abstract: The present invention is related to methods and kits for the detection of deoxyribonucleic acid (DNA), in particular pathogenic microbial DNA, which provide more simple and sensitive detection of DNA compared to similar methods and kits known in the art.

Abstract: The present invention relates to a logic gate, comprising a metamaterial surface enhanced Raman scattering (MetaSERS) sensor, comprising (a) alphabetical metamaterials in the form of split ring resonators operating in the wavelength range of from 560 to 2200 nm; and (b) a guanine (G) and thymine (T)-rich oligonucleotide that can, upon presence of potassium cations (K+), fold into a G-quadruplex structure, and in presence of Hg2+, form a T-Hg2+-T hairpin complex that inhibits or disrupts the G-quadruplex structure formed in presence of K+, as well as methods of operating and using such a logic gate.

Abstract: Disclosed is a method of detecting bioproducts using Localized Surface Plasmon Resonance (LSPR) of gold nanoparticles, which can diagnose bioproducts based on changes in the maximum wavelength occurred by an antigen-antibody reaction after immobilization of the gold nanoparticles onto a glass panel. A sensor using such method exhibits high sensitivity, is low in price, and makes quick diagnosis possible, thereby being applicable to various biological fields associated with environmental contaminants, pathogens and the like, as well as diagnosis of diseases. Further, it provides a technology for manufacturing a sensor having higher sensitivity, low price and quick performance, as compared to conventional methods using SPR.

Abstract: A method is described for determining a discrete boundary for an object to be rendered into a raster pixel image having a plurality of scanlines. In the method, the object is rotated by an integer multiple of 90 degrees, and an outline of the rotated object is decomposed into line segments. For each scanline to be rendered, points of intersection between the line segments and the scanline are determined, and each point of intersection is rounded to an adjacent position selected from a finite set of positions on the scanline using a rule chosen according to the amount of rotation. The rounded points of intersection delimiting the discrete boundary. If the object is rotated by odd multiple of 90 degrees the method includes the steps of identifying points of intersection that satisfy a predetermined criterion; and shifting the identified points of intersection prior to rounding.

Abstract: A method (2500) of converting a monotonic curve into edge information is disclosed. A method (2800A) of determining an integer edge crossing value, Xi, for a new edge crossed by a scanline (i.e., an inactive edge being crossed by the scanline for the first time) is also disclosed. Further, a method (2800B) of determining an integer edge crossing value, Xi, for an active edge crossed by a scanline, is also disclosed. The disclosed methods have general application in the representation of monotonic curves. The described methods allow monotonic curves to be accurately represented in terms of edges where the original curve can be reconstructed from the edges. Furthermore, the methods allow edge tracking to be performed such that any resulting error is restricted to a fixed-point division error. At transition points between adjoining segments, an original edge crossing point may be determined to avoid accumulated error.