Abstract: System, methods, and other embodiments described herein relate to self-supervised training for monocular depth estimation. In one embodiment, a method includes filtering disfavored images from first training data to produce second training data that is a subsampled version of the first training data. The disfavored images correspond with anomaly maps within a set of depth maps. The first depth model is trained according to the first training data and generates the depth maps from the first training data after initially being trained with the first training data. The method includes training a second depth model according to a self-supervised training process using the second training data. The method includes providing the second depth model to infer distances from monocular images.

Abstract: An amplifier arrangement for amplifying an input signal to an output signal for delivering to a load is disclosed. The amplifier arrangement comprises a power splitter configured to receive the input signal and produce split input signals. The amplifier arrangement further comprises a first amplifier branch comprising multiple main amplifier circuits. Output signals of the multiple main amplifier circuits are combined to generate a first output signal. The amplifier arrangement further comprises a second amplifier branch comprising at least one auxiliary amplifier circuit. The at least one auxiliary amplifier circuit is configured to receive a split input signal from the power splitter and produce a second output signal. The amplifier arrangement further comprises a power combiner configured to receive the first and second output signals and produce the output signal for delivering to the load.

Abstract: Disclosed herein are systems, methods, devices, and media for carrying out medical diagnosis of diseases and conditions using artificial intelligence or machine learning approaches. Deep learning algorithms enable the automated analysis of medical images such as X-rays to generate predictions of comparable accuracy to clinical experts for various diseases and conditions including those afflicting the lung such as pneumonia.

Abstract: Embodiments relate generally to systems and methods for detecting particulate matter in the air. A particulate matter sensor may comprise an airflow channel; a light source configured to pass light through the airflow channel; an airflow generator configured to generate airflow into the airflow channel; a waveguide configured to direct light from the light source after it passes through the airflow channel and scatters off of particulate matter within the airflow channel; a photodiode configured to receive light scattered by the waveguide; and a computing device coupled to the photodiode having a processor and a memory storing instructions which, when executed by the processor, determines a mass concentration of particles in the airflow channel based on an output of the photodiode.

Abstract: A method of decoding a color barcode involves simultaneously illuminating the color barcode with three light zones in a manner that illuminates each bar of the color barcode with each of the three spatially separated light zones, where the three light zones are each illuminated by a different one of three colors; capturing a monochrome image of light reflected off of the color barcode that includes each of the bars in the barcode illuminated by the three light zones; and for each bar in the color barcode, determining a color of the bar by analysis of the intensity of the light captured in the image of the reflected light intensity in each of the three light zones.

Abstract: In one aspect, a power amplifier apparatus comprising a power amplifier (PA) and an adaptive controller is provided. The PA comprises at least one transistor and the adaptive controller is configured to control a bias voltage of the transistor based on a measured power efficiency of the PA and a measure output signal quality of the PA. In another aspect, a method of optimizing PA performance is provided. The PA comprises at least one transistor and the method includes initializing a bias voltage of the transistor, receiving measurements indicating a power efficiency and an output signal quality of the PA, evaluating the received measurements, calculating a new bias voltage for the transistor based on the evaluation, and applying the calculated new bias voltage to the transistor.

Abstract: Disclosed herein are methods and kits for identifying a subject as having leukemia. Also provided herein are methods and kits for determining a leukemia subtype in subject. Further provided herein are methods and kits for determining the prognosis of a subject having leukemia and for determining the progression of leukemia in a subject.

Abstract: A method of decoding a color barcode involves simultaneously illuminating the color barcode with three light zones in a manner that illuminates each bar of the color barcode with each of the three spatially separated light zones, where the three light zones are each illuminated by a different one of three colors; capturing a monochrome image of light reflected off of the color barcode that includes each of the bars in the barcode illuminated by the three light zones; and for each bar in the color barcode, determining a color of the bar by analysis of the intensity of the light captured in the image of the reflected light intensity in each of the three light zones.

Abstract: Disclosed herein are methods and kits for identifying a subject as having esophagus cancer, pancreatic cancer, or stomach cancer. Also provided herein are methods and kits for generating the methylation profile of a biomarker associated with esophagus cancer, pancreatic cancer, or stomach cancer.

Abstract: Disclosed herein are methods, probes, and kits for diagnosing the presence of cancer and/or a cancer type in a subject.

Abstract: Disclosed herein, in certain embodiments, are methods and kits for diagnosing a subject as having hepatocellular carcinoma (HCC) or lung cancer. In some instances, also described herein are methods of determining the prognosis of the subject having HCC or lung cancer. In additional instances, described herein are methods of determining the specific staging of HCC or lung cancer in a subject.

Abstract: An amplifier arrangement (200) for amplifying input signals and a method for operating the amplifier arrangement are disclosed. The amplifier arrangement (200) comprises a main amplifier circuit (210) having an input and an output; a first (221) and second (222) auxiliary amplifier circuits each having an input and an output, wherein each of the first (221) and second (222) auxiliary amplifier circuits being selectively operable to operate in combination with the main amplifier circuit (210). The amplifier arrangement (200) further comprises a single hybrid coupler circuit (230) having a first port (221) being coupled to the output of the main amplifier circuit (210), a second port (232) being coupled to the output of the first auxiliary amplifier circuit (221), a third port (233) being coupled to the output of the second auxiliary amplifier circuit (222) and a fourth port (234) being coupled to the load (240) of the amplifier (200).

Abstract: Disclosed herein are systems, methods, devices, and media for carrying out medical diagnosis of ophthalmic diseases and conditions. Deep learning algorithms enable the automated analysis of ophthalmic images to generate predictions of comparable accuracy to clinical experts.

Abstract: Disclosed herein are methods and kits for identifying a subject as having esophagus cancer, pancreatic cancer, or stomach cancer. Also provided herein are methods and kits for generating the methylation profile of a biomarker associated with esophagus cancer, pancreatic cancer, or stomach cancer.

Abstract: Disclosed herein, in certain embodiments, are methods and kits for diagnosing a subject as having hepatocellular carcinoma (HCC) or lung cancer. In some instances, also described herein are methods of determining the prognosis of the subject having HCC or lung cancer. In additional instances, described herein are methods of determining the specific staging of HCC or lung cancer in a subject.

Abstract: There is provided a circulator device. The circulator device comprises two magnet-free circulators. Each magnet-free circulator has a forced time variance. The circulator device comprises ports. The two circulators are in the circulator device arranged to have mutually anti-phase time variance. Each of the two circulators is coupled to all of the ports. There is also presented an isolator device comprising such a circulator device. There is also presented a radio transceiver device comprising such a circulator device or isolator device.

Abstract: Disclosed herein are methods and kits for identifying a subject as having breast cancer. Also provided herein are methods and kits for determining the prognosis of a subject having breast cancer and for determining the progression of breast cancer in a subject.

Abstract: Disclosed herein are methods and kits for identifying a subject as having lung cancer. Also provided herein are methods and kits for determining the prognosis of a subject having lung cancer and for determining the progression of lung cancer in a subject.

Abstract: The present invention provides sterols and uses thereof to treat vision disorders. In one embodiment, composition comprising pharmaceutically effective amount of lanosterol is used to treat and/or prevent vision disorders in a subject. In another embodiment, composition comprising pharmaceutically effective amount of lanosterol is used to treat cataract or blindness/impaired vision in a subject. In yet another embodiment, composition comprising lanosterol is used to dissolve amyloid-like fibrils of crystallin proteins.

Abstract: Disclosed herein are methods and kits for identifying a subject as having colon cancer. Also provided herein are methods and kits for determining the prognosis of a subject having colon cancer and for determining the progression of colon cancer in a subject.