Abstract: A hybrid switch circuit for coupling two circuit terminals together is disclosed. The hybrid switch circuit includes a set of bidirectional switch devices coupled between a first circuit terminal and a second circuit terminal. The hybrid switch circuit also includes a set of unidirectional switch devices that are also coupled between the first circuit terminal and the second circuit terminal. In some cases, the set of bidirectional switch devices may be implemented using bidirectional double-base bipolar junction transistors, while the set of unidirectional switch devices may be implemented using wide bandgap transistors. In response to a de-assertion of a switch signal, a control circuit may open the set of bidirectional switch devices and, after a period of time has elapsed, open the set of unidirectional switch devices.

Abstract: Double-sided double-base bipolar junction transistor, and methods of operation. One example is a method comprising conducting main load current from an upper terminal of a switch assembly, through a double-sided double-base bipolar junction transistor (DSDB-BJT) of the switch assembly, and then through a lower terminal of the switch assembly. The conducting may be by: injecting charge carriers into an upper drift region of the DSDB-BJT as the main load current flows into an upper collector-emitter of the DSDB-BJT; and simultaneously injecting charge carriers into a lower drift region of the DSDB-BJT as main load current flows out of a lower collector-emitter of the DSDB-BJT.

Abstract: The invention discloses a nonlinear feedback circuit, which includes at least one diode. The invention also discloses a low noise amplifier using the nonlinear feedback circuit. In the invention, temperature compensation is performed for the gain change of the low noise amplifier based on the negative temperature characteristics of the diode, thereby achieving gain stability. In addition, the nonlinear characteristics of the diode can also provide high-order harmonics for the low-noise amplifier, and the mutual cancellation and addition of high-order harmonics can increase the OIP3 of the low noise amplifier.

Abstract: The present invention relates to an amphiphilic material and an application thereof in preparation of a liposome, and in particular, the present invention provides an amphiphilic material, wherein the structure of the amphiphilic material is as follows. The amphiphilic material of the present invention is used for preparing drug-loaded nanoparticles to effectively enter cells such as tumor cells, thereby enhancing the therapeutic effect of the drug.

Abstract: Thin bidirectional bipolar junction transistor (BJT) devices and methods for fabricating thin bidirectional BJT devices. The method includes forming a first base region and a first emitter/collector region on a first side of a first thick semiconductor wafer. The method also includes removing a portion of the first thick semiconductor wafer to produce a first thin semiconductor wafer. The method further includes forming a second base region and a second emitter/collector region on a second side of the first thin semiconductor wafer opposite the first side. The method also includes producing a second thin semiconductor wafer. The method further includes bonding the first thin semiconductor wafer to the second thin semiconductor wafer.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately, efficiently, and flexibly generating harmonized digital images utilizing a self-supervised image harmonization neural network. In particular, the disclosed systems can implement, and learn parameters for, a self-supervised image harmonization neural network to extract content from one digital image (disentangled from its appearance) and appearance from another from another digital image (disentangled from its content). For example, the disclosed systems can utilize a dual data augmentation method to generate diverse triplets for parameter learning (including input digital images, reference digital images, and pseudo ground truth digital images), via cropping a digital image with perturbations using three-dimensional color lookup tables (“LUTs”).

Abstract: Aspects of the present disclosure describe semiconductor DFB laser structures including both pumped and unpumped regions/sections wherein unpumped regions act as DBR reflector(s) while pumped regions act as DFB gratings. Semiconductor DFB laser devices according to aspects of the present disclosure include an active layer that extends the length of the device that is identical in both pumped and unpumped regions/sections.

Abstract: The present invention relates to a method for removing protein corona on the surface of nanometer particle. Specifically, the invention provides a method for removing protein corona of protein corona modified nanometer particle, the method comprises the following steps: subjecting the protein corona modified nanometer particle to ultrasound stimulation to remove the protein corona of the protein corona modified nanometer particle; the nanometer particle comprises perfluoropentane. Ultrasound stimulation can remove protein corona on the surface of nanometer particle, overcome the masking effect of the protein corona on the ligand modified on the surface of nanometer particle, and prevent the protein corona from blocking the binding of the ligand modified on the surface of nanometer particle to cell receptor.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately, efficiently, and flexibly generating harmonized digital images utilizing a self-supervised image harmonization neural network. In particular, the disclosed systems can implement, and learn parameters for, a self-supervised image harmonization neural network to extract content from one digital image (disentangled from its appearance) and appearance from another from another digital image (disentangled from its content). For example, the disclosed systems can utilize a dual data augmentation method to generate diverse triplets for parameter learning (including input digital images, reference digital images, and pseudo ground truth digital images), via cropping a digital image with perturbations using three-dimensional color lookup tables (“LUTs”).

Abstract: The present disclosure discloses a similar patients identification method and system based on a patient representation image. The method includes following steps: S1: building a healthcare knowledge graph: generating the healthcare knowledge graph by extracting entities and a relationship between the entities in a knowledge source; S2: building a healthcare knowledge graph space vector library; S3: building a patient's personal healthcare knowledge graph space vector data set; S4: drawing a patient's personal healthcare representation image; and S5: performing similar patients identification based on graph similarity calculation. The present disclosure builds a visual patient representation mode, so as to convert patient's healthcare data into a visual image, so that a doctor may intuitively feel a difference of different patients and similarity of similar patients.

Abstract: Described herein are examples of improved semiconductor lasers having improved facet reliability for operation at high power and high current without significant change in device performance. The semiconductor laser may include a first semiconductor layer, an active layer, a second semiconductor layer sequentially adjacent to each other and arranged on a substrate, and a contact layer. In one example, the improved semiconductor laser may have a conductive contact less than the length of the semiconductor laser cavity and/or a dielectric layer arranged on at least one of the end portions of the contact layer.

Abstract: Examples relate to systems, methods and computer programs for a microscope, and to a microscope system comprising such as system. The system for the microscope comprises one or more processors and one or more storage devices. The system is configured to obtain image data from an optical imaging sensor of the microscope. The image data comprises at least a first frame and a subsequent second frame. The system is configured to determine a plurality of points of the first frame and a corresponding plurality of points of the second frame. In some embodiments, the plurality of points are selected from a portion of the image data showing an illuminated portion of an object being shown in the image data. The system is configured to determine a plurality of offsets between the plurality of points of the first frame and the corresponding plurality of points of the second frame. In various embodiments, the system is configured to determine a group of similar offsets from the plurality of offsets.

Abstract: The present invention relates to an amphiphilic material and an application thereof in preparation of a liposome, and in particular, the present invention provides an amphiphilic material, wherein the structure of the amphiphilic material is as follows. The amphiphilic material of the present invention is used for preparing drug-loaded nanoparticles to effectively enter cells such as tumor cells, thereby enhancing the therapeutic effect of the drug.

Abstract: The present disclosure describes systems and methods for predicting adverse health events of patients. In one embodiment, a system obtains a dataset including a plurality of values for each of a plurality of health measurements. The system can obtain the dataset in real-time or substantially real-time after a patient has taken the plurality of health measurements. The system can also obtain metadata about the dataset. The metadata may include a measure of the patient's adherence or non-adherence to a testing routine. The measure of non-adherence may indicate, for example, the quantity of days in a particular time period that the patient failed to conduct the testing routine. The system can apply an algorithm to the dataset and the metadata to generate a risk score. The risk score may indicate the likelihood that the subject will experience an adverse health event.

Abstract: The present disclosure describes systems and methods for predicting adverse health events of patients. In one embodiment, a system obtains a dataset including a plurality of values for each of a plurality of health measurements. The system can obtain the dataset in real-time or substantially real-time after a patient has taken the plurality of health measurements. The system can also obtain metadata about the dataset. The metadata may include a measure of the patient's adherence or non-adherence to a testing routine. The measure of non-adherence may indicate, for example, the quantity of days in a particular time period that the patient failed to conduct the testing routine. The system can apply an algorithm to the dataset and the metadata to generate a risk score. The risk score may indicate the likelihood that the subject will experience an adverse health event.

Abstract: Semiconductors lasers are disclosed having an active region having a longitudinal axis, a first facet end, and a second facet end. The second facet end emitting the main output beam of light from of the respective semiconductor laser. The first facet end may have a low-reflection coating. The first facet end may be non-perpendicular to the longitudinal axis of the active region. The semiconductor lasers may be distributed feedback (DFB) lasers having a plurality of diffraction gratings along the longitudinal axis of the active region. The plurality of diffraction grating may include a first diffraction grating positioned proximate the first end of the active region, a second diffraction grating positioned proximate the second end of the active region, and a third diffraction grating positioned between the first diffraction grating and the second diffraction grating.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately, efficiently, and flexibly generating harmonized digital images utilizing a self-supervised image harmonization neural network. In particular, the disclosed systems can implement, and learn parameters for, a self-supervised image harmonization neural network to extract content from one digital image (disentangled from its appearance) and appearance from another from another digital image (disentangled from its content). For example, the disclosed systems can utilize a dual data augmentation method to generate diverse triplets for parameter learning (including input digital images, reference digital images, and pseudo ground truth digital images), via cropping a digital image with perturbations using three-dimensional color lookup tables (“LUTs”).

Abstract: The present disclosure describes systems and methods for predicting adverse health events of patients. In one embodiment, a system obtains a dataset including a plurality of values for each of a plurality of health measurements. The system can obtain the dataset in real-time or substantially real-time after a patient has taken the plurality of health measurements. The system can also obtain metadata about the dataset. The metadata may include a measure of the patient's adherence or non-adherence to a testing routine. The measure of non-adherence may indicate, for example, the quantity of days in a particular time period that the patient failed to conduct the testing routine. The system can apply an algorithm to the dataset and the metadata to generate a risk score. The risk score may indicate the likelihood that the subject will experience an adverse health event.

Abstract: The invention discloses a nonlinear feedback circuit, which includes at least one diode. The invention also discloses a low noise amplifier using the nonlinear feedback circuit. In the invention, temperature compensation is performed for the gain change of the low noise amplifier based on the negative temperature characteristics of the diode, thereby achieving gain stability. In addition, the nonlinear characteristics of the diode can also provide high-order harmonics for the low-noise amplifier, and the mutual cancellation and addition of high-order harmonics can increase the OIP3 of the low noise amplifier.

Abstract: An electrochemical gas detector includes an electrochemical cell, a switching circuit, and a drive circuit. The switching circuit is electrically coupled to the electrochemical cell and to the switching circuit. The drive circuit includes a working-electrode terminal, a counter-electrode terminal, and a reference-electrode terminal. The electrochemical cell includes a first electrode, a second electrode, and a third electrode. The switching circuit has a first state in which the first electrode is electrically coupled to the working-electrode terminal, the second electrode is electrically coupled to the counter-electrode terminal, and the third electrode is electrically coupled to the reference-electrode terminal. The switching circuit has a second state in which the first electrode is electrically coupled to the counter-electrode terminal, the second electrode is electrically coupled to the working-electrode terminal, and the third electrode is electrically coupled to the reference-electrode terminal.