Abstract: A circuit includes a plurality of anti-fuse cells coupled to a first selection circuit, a plurality of magnetic random-access memory (MRAM) cells coupled to a second selection circuit, an amplifier including a first input terminal coupled to each of the first and second selection circuits, an analog-to-digital converter (ADC) including input terminals coupled to output terminals of the amplifier, and a comparator including a first input port coupled to an output port of the ADC. The amplifier, ADC, and comparator are configured to output data bits from the comparator responsive to current levels received from the first selection circuit at the first input terminal of the amplifier and first voltage levels received from the second selection circuit at the first input terminal of the amplifier.

Abstract: The present invention provides novel substituted benzimidazole derivatives used as DAAO inhibitors and for treatment and/or prevention of neurological disorders.

Abstract: A prediction model training method includes the following steps. A first model is trained according to first electrocardiograms, wherein the first model includes a feature extraction layer, and the feature extraction layer is configured to extract features corresponding to an electrocardiogram. First feature information corresponding to second electrocardiograms is extracted according to the second electrocardiograms and the feature extraction layer of the first model. A second model is trained according to the first feature information, gender information corresponding to the second electrocardiograms, and age information corresponding to the second electrocardiograms.

Abstract: A circuit includes a plurality of anti-fuse cells coupled to a first selection circuit, a plurality of magnetic random-access memory (MRAM) cells coupled to a second selection circuit, an amplifier including a first input terminal coupled to each of the first and second selection circuits, an analog-to-digital converter (ADC) including input terminals coupled to output terminals of the amplifier, and a comparator including a first input port coupled to an output port of the ADC. The amplifier, ADC, and comparator are configured to output data bits from the comparator responsive to current levels received from the first selection circuit at the first input terminal of the amplifier and first voltage levels received from the second selection circuit at the first input terminal of the amplifier.

Abstract: A circuit includes an operational amplifier including an inverting input terminal capacitively coupled to each of an OTP cell array and an NVM cell array and first and second output terminals, an ADC coupled to the first and second output terminals, thereby configured to receive a differential output voltage from the operational amplifier, and a comparator coupled to the ADC and configured to output a data bit responsive to a digital output signal received from the ADC. The circuit is configured to cause the operational amplifier to generate the differential output voltage based on each of a current received from an OTP cell of the OTP cell array and a voltage received from an NVM cell of the NVM cell array.

Abstract: A circuit is provided and includes first to second switching units, a sensing unit, and first to second capacitive units. The first switching unit and the second switching unit are alternately turned on in response to, respectively, a first control signal and a second control signal that have different voltage levels. First terminals of the first and second switching units are coupled to each other. A sensing unit generates a sensing voltage, in response to light, at the first terminals of the first and second switching units. The first capacitive unit generates a first voltage, in response to the sensing voltage, at a second terminal of the first switching unit. The second capacitive unit generates a second voltage, in response to the generating the sensing voltage, at a second terminal of the second switching unit.

Abstract: The present disclosure relates to methods, apparatuses, and computer programs for processing computed tomography images. Precise segmentation of the left atrium (LA) in computed tomography (CT) images constitutes a crucial preparatory step for catheter ablation in atrial fibrillation (AF). We aim to apply deep convolutional neural networks (DCNNs) to automate the LA detection/segmentation procedure and create a three-dimensional (3D) geometries. The deep learning provides an efficient and accurate way for automatic contouring and LA volume calculation based on the construction of the 3D LA geometry. Non-pulmonary vein (NPV) trigger has been reported as an important predictor of recurrence post atrial fibrillation (AF) ablation. Elimination of NPV triggers can reduce the post-ablation AF recurrence. The deep learning was applied in pre-ablation pulmonary vein computed tomography (PVCT) geometric slices to create a prediction model for NPV triggers in patients with paroxysmal atrial fibrillation (PAF).

Abstract: A circuit includes an operational amplifier including an inverting input terminal capacitively coupled to each of an OTP cell array and an NVM cell array and first and second output terminals, an ADC coupled to the first and second output terminals, thereby configured to receive a differential output voltage from the operational amplifier, and a comparator coupled to the ADC and configured to output a data bit responsive to a digital output signal received from the ADC. The circuit is configured to cause the operational amplifier to generate the differential output voltage based on each of a current received from an OTP cell of the OTP cell array and a voltage received from an NVM cell of the NVM cell array.

Abstract: A circuit includes an array of OTP cells, an array of NVM cells, an amplifier coupled to each of the array of OTP cells and the array of NVM cells, and a control circuit configured to generate one or more control signals. Responsive to the one or more control signals, the amplifier is configured to generate an output voltage based on a current received from the array of OTP cells in a first configuration, and generate the output voltage based on a voltage received from the array of NVM cells in a second configuration.

Abstract: A circuit is provided and includes first to second switching units, a sensing unit, and first to second capacitive units. The first switching unit and the second switching unit are alternately turned on in response to, respectively, a first control signal and a second control signal that have different voltage levels. First terminals of the first and second switching units are coupled to each other. A sensing unit generates a sensing voltage, in response to light, at the first terminals of the first and second switching units. The first capacitive unit generates a first voltage, in response to the sensing voltage, at a second terminal of the first switching unit. The second capacitive unit generates a second voltage, in response to the generating the sensing voltage, at a second terminal of the second switching unit.

Abstract: Methods and systems for capturing a three dimensional image are described. An image capture process is performed while moving a lens to capture image data across a range of focal depths, and a three dimensional image reconstruction process generates a three dimensional image based on the image data. A two-dimensional image is also rendered including focused image data from across the range of focal depths. The two dimensional image and the three dimensional image are fused to generate a focused three dimensional model.

Abstract: The present invention provides novel substituted benzimidazole derivatives used as DAAO inhibitors and for treatment and/or prevention of neurological disorders.

Abstract: The present invention provides novel substituted benzimidazole derivatives used as DAAO inhibitors and for treatment and/or prevention of neurological disorders.

Abstract: A circuit is disclosed, including a sensing unit and first to fifth switching units. The sensing unit generates a sensing voltage to a sensing node. The first switching unit is coupled between the sensing node and a first node. The second switching unit is coupled between the sensing node and a second node and generates a first auxiliary voltage to the second node. The first capacitive unit is coupled to the second node. The third switching unit is coupled between the first and second nodes, and adjusts a first transfer voltage at the first node. The fourth switching unit is coupled between the sensing node and a third node, and generates a second transfer voltage to the third node. The fifth switching unit is coupled between the sensing node and a fourth node and generates a second auxiliary voltage to the fourth node.

Abstract: The present invention provides novel substituted benzimidazole derivatives of formula (I) used as DAAO inhibitors and for treatment and/or prevention of neurological disorders.

Abstract: A circuit includes an array of OTP cells, an array of NVM cells, an amplifier coupled to each of the array of OTP cells and the array of NVM cells, and a control circuit configured to generate one or more control signals. Responsive to the one or more control signals, the amplifier is configured to generate an output voltage based on a current received from the array of OTP cells in a first configuration, and generate the output voltage based on a voltage received from the array of NVM cells in a second configuration.

Abstract: A circuit includes an OTP cell, an NVM cell, and a bit line coupled to the OTP cell, the NVM cell, and a first input terminal of an amplifier. The amplifier is configured to generate an output voltage based on a signal on the bit line, an ADC is configured to generate a digital output signal based on the output voltage, and a comparator includes a first input port coupled to an output port of the ADC and is configured to output a data bit responsive to a comparison of the digital output signal to a threshold level received at a second input port.

Abstract: A circuit includes an OTP cell, an NVM cell, and a bit line coupled to the OTP cell, the NVM cell, and a first input terminal of an amplifier. The amplifier is configured to generate an output voltage based on a signal on the bit line, an ADC is configured to generate a digital output signal based on the output voltage, and a comparator includes a first input port coupled to an output port of the ADC and is configured to output a data bit responsive to a comparison of the digital output signal to a threshold level received at a second input port.

Abstract: The present disclosure relates to methods, apparatuses, and computer programs for processing computed tomography images. Precise segmentation of the left atrium (LA) in computed tomography (CT) images constitutes a crucial preparatory step for catheter ablation in atrial fibrillation (AF). We aim to apply deep convolutional neural networks (DCNNs) to automate the LA detection/segmentation procedure and create a three-dimensional (3D) geometries. The deep learning provides an efficient and accurate way for automatic contouring and LA volume calculation based on the construction of the 3D LA geometry. Non-pulmonary vein (NPV) trigger has been reported as an important predictor of recurrence post atrial fibrillation (AF) ablation. Elimination of NPV triggers can reduce the post-ablation AF recurrence. The deep learning was applied in pre-ablation pulmonary vein computed tomography (PVCT) geometric slices to create a prediction model for NPV triggers in patients with paroxysmal atrial fibrillation (PAF).

Abstract: The invention utilizes virtual screening strategy to seek for current market drugs as anti-schizophrenia therapy drug repurposing. Drug repurposing strategy finds new uses other than the original medical indications of existing drugs. Finding new indications for such drugs will benefit patients who are in needs for a potential new therapy sooner since known drugs are usually with acceptable safety and pharmacokinetic profiles. In this study, repurposing marketed drugs for DAAO inhibitor as new schizophrenia therapy was performed with virtual screening on marketed drugs and its metabolites. The identified and available drugs and compounds were further confirmed with in vitro DAAO enzymatic inhibitory assay.