Abstract: A generating device for simulating a particulate environment for an experimental animal includes an experimental chamber. An ultrasonic atomization device is installed at the bottom adjacent to the center of the experimental chamber. The upper side of the ultrasonic atomization device is connected to a guide device for guiding particles. The guide device includes an air seal cover, and a micro fan is installed inside the air seal cover to drive the movement of particles generated in the ultrasonic atomization device. Air guide pipes are fixedly connected to a side wall of the air seal cover. The generating device has good sealing performance, and can generate a variety of particle simulation environments to accurately and effectively simulate the biological effect of particles in the animal body. The generating device can improve the particle simulation environment, reduce the deviation of experimental data, and ensure the accuracy of the overall experimental data.

Abstract: Detecting user contact with one or more electrodes of a physiological signal sensor can be used to ensure physiological signals measured by the physiological signal sensor meet waveform characteristics (e.g., of a clinically accurate physiological signal). In some examples, a mobile and/or wearable device can comprise sensing circuitry, stimulation circuitry, and processing circuitry. The stimulation circuit can drive one or more stimulation signals on one or more electrodes, the resulting signal(s) can be measured (e.g., by the sensing circuitry), and the processing circuitry can determine whether a user is in contact with the electrode(s). Additionally or alternatively, in some examples, mobile and/or wearable device can comprise saturation detection circuitry, and the processing circuitry can determine whether the sensing circuitry is saturated.

Abstract: Detecting user contact with one or more electrodes of a physiological signal sensor can be used to ensure physiological signals measured by the physiological signal sensor meet waveform characteristics (e.g., of a clinically accurate physiological signal). In some examples, a mobile and/or wearable device can comprise sensing circuitry, stimulation circuitry, and processing circuitry. The stimulation circuit can drive one or more stimulation signals on one or more electrodes, the resulting signal(s) can be measured (e.g., by the sensing circuitry), and the processing circuitry can determine whether a user is in contact with the electrode(s). Additionally or alternatively, in some examples, mobile and/or wearable device can comprise saturation detection circuitry, and the processing circuitry can determine whether the sensing circuitry is saturated.

Abstract: Disclosed herein are devices and methods of using a mobile or wearable device for the acquisition and spatial filtering of ECG signals from an electrode array. One variation of a mobile or wearable device comprises an array of electrodes, one or more reference electrodes, and a controller in communication with the electrodes. In one example, the one or more reference electrodes are located on a wrist-worn device (e.g., a watch), and the electrode array is located on an accessory device that may be contacted with a fingertip. One variation of a spatial filtering method comprises identifying the electrodes that have high levels of noise and excluding the ECG signals from those electrodes from further analyses. In another variation, a method of spatial filtering comprises identifying electrodes with low levels of noise and including only the ECG signals from those electrodes in further analyses.

Abstract: Disclosed are systems and methods for generating search result data based on machine-encoded text generated by computer vision optical character recognition machine learning techniques performed on digital media. The disclosed systems and methods provide a novel framework for performing machine learning visual search or machine learning text extraction techniques on digital media in order to extract and analyze the data therein and further conduct search queries based on the extracted and analyzed data. The disclosed framework may leverage the aforementioned computer vision machine learning techniques in order to provide a user with relevant search results regarding objects and text detect in digital media captured on a user device.

Abstract: Disclosed herein are devices and methods of using a mobile or wearable device for the acquisition and spatial filtering of ECG signals from an electrode array. One variation of a mobile or wearable device comprises an array of electrodes, one or more reference electrodes, and a controller in communication with the electrodes. In one example, the one or more reference electrodes are located on a wrist-worn device (e.g., a watch), and the electrode array is located on an accessory device that may be contacted with a fingertip. One variation of a spatial filtering method comprises identifying the electrodes that have high levels of noise and excluding the ECG signals from those electrodes from further analyses. In another variation, a method of spatial filtering comprises identifying electrodes with low levels of noise and including only the ECG signals from those electrodes in further analyses.

Abstract: A computing device includes a housing defining an aperture extending therethrough. The computing device further includes a button that includes a switch and a body. The body is at least partially disposed within the aperture and movable relative to the housing between a first position and a second position to selectively actuate the switch to cause the computing device to perform a function. The button includes a printed circuit electrically coupled to one or more processors of the computing device. The button includes an optical sensor disposed within the interior of the body and configured to obtain biometric data for determining one or more biometrics of a user.

Abstract: An interactive cord can include a plurality of non-conductive lines and a plurality of conductive lines arranged together in a first longitudinal portion to form a touch-sensitive area within a first longitudinal portion of the interactive cord. A non-touch-sensitive area can be formed in a second longitudinal portion such in which the plurality of conductive lines is not exposed along an outer surface of the outer layer. The plurality of conductive lines can be arranged together with the one or more of the plurality of non-conductive lines within a third longitudinal portion. The second longitudinal portion can be arranged between the first longitudinal portion and the third longitudinal portion with respect to a longitudinal direction of the interactive cord. The third longitudinal portion can be open along the longitudinal direction to form a pair longitudinal edges of the outer layer that extend in the longitudinal direction of the interactive cord.

Abstract: An ultrasound system includes an ultrasound transducer, an ultrasound controller structured to communicate with the ultrasound transducer, and a signal processing system structured to communicate with the ultrasound transducer. The ultrasound controller is structured to provide control signals to the ultrasound transducer to transmit a plurality of at least three non-coplanar A-line signals and to receive corresponding at least three non-coplanar A-line signals, and the signal processing system is structured to receive the at least three non-coplanar A-line signals from the ultrasound transducer and to form a generalized B-mode image based on the at least three non-coplanar A-line signals.

Abstract: The present disclosure provides a canine parvovirus (CPV) nanobody CPV-VHH-H1 and use thereof, belonging to the technical field of immunology. A heavy-chain variable region sequence of the nanobody CPV-VHH-H1 has the amino acid sequence set forth in SEQ ID NO: 1; and a gene encoding the nanobody CPV-VPP-H1 has the nucleotide sequence set forth in SEQ ID NO: 2. In the present disclosure, a nanobody immune library of the CPV is constructed by a phage display technology, a specific anti-CPV nanobody CPV-VHH-H1 is obtained by screening, and it is verified by experiments that the nanobody may specifically bind to the CPV. The present disclosure is expected to develop a new nanobody preparation for use in clinical diagnosis and treatment of the CPV, and provides a certain theoretical reserve for applying the nanobody to the field of veterinary biological products.

Abstract: The present disclosure provides a recombinant adenovirus for expressing African swine fever virus (ASFV) EP153R-EP402R protein and a construction method thereof, and belongs to the technical field of genetic engineering. In the present disclosure, a recombinant adenovirus vector pAD-CMV-EGFP-EP153R-EP402R is obtained through a series of intermediate processes using a recombinant adenovirus shuttle vector pENTRE-EGFP-TOPO; the recombinant adenovirus vector is linearized to transfect AD293 cells, a recombinant virus is screened according to cytopathy formed by adenovirus infection, an adenovirus packaging process is achieved, and the recombinant adenovirus for expressing ASFV EP153R-EP402R protein is obtained, laying a foundation for the construction of a recombinant adenovirus vaccine for expressing the ASFV EP153R-EP402R protein.

Abstract: A system and method for monitoring a code overwrite error of a Redriver chip are disclosed. An analog to digital converter (ADC) monitors whether an EEPROM code of a Redriver chip has been overwritten in error. A Switch chip is utilized to separate the Redriver chip from a system management bus (SMbus) controller. A pull-up resistor keeps an SMbus at a Redriver chip/EEPROM side in a pull-up state. The ADC is utilized to monitor the SMbus. When an abnormal low level is monitored, an alarm signal is sent to the SMbus controller to give a risk alarm for an overwrite error. In addition, according to different ADC sampling rates, an SMbus may also be connected between the SMbus controller and an ADC with a high sampling rate, whereby SMbus data can be monitored.

Abstract: Disclosed are systems and methods for generating search result data based on machine-encoded text generated by computer vision optical character recognition machine learning techniques performed on digital media. The disclosed systems and methods provide a novel framework for performing machine learning visual search or machine learning text extraction techniques on digital media in order to extract and analyze the data therein and further conduct search queries based on the extracted and analyzed data. The disclosed framework may leverage the aforementioned computer vision machine learning techniques in order to provide a user with relevant search results regarding objects and text detect in digital media captured on a user device.

Abstract: A generating device of simulating a particulate environment for an experimental animal includes an experimental chamber. An ultrasonic atomization device is installed at the bottom adjacent to the center of the experimental chamber. The upper side of the ultrasonic atomization device is connected to a guide device for guiding particles. The guide device includes an air seal cover, and a micro fan is installed inside the air seal cover to drive the movement of particles generated in the ultrasonic atomization device. Air guide pipes are fixedly connected to a side wall of the air seal cover. The generating device has good sealing performance, and can generate a variety of particle simulation environments to accurately and effectively simulate the biological effect of particles in the animal body. The generating device can improve the particle simulation environment, reduce the deviation of experimental data, and ensure the accuracy of the overall experimental data.

Abstract: Disclosed are systems and methods for generating search result data based on machine-encoded text generated by computer vision optical character recognition machine learning techniques performed on digital media. The disclosed systems and methods provide a novel framework for performing machine learning visual search or machine learning text extraction techniques on digital media in order to extract and analyze the data therein and further conduct search queries based on the extracted and analyzed data. The disclosed framework may leverage the aforementioned computer vision machine learning techniques in order to provide a user with relevant search results regarding objects and text detect in digital media captured on a user device.

Abstract: A system and method for monitoring a code overwrite error of a Redriver chip are disclosed. An analog to digital converter (ADC) monitors whether an EEPROM code of a Redriver chip has been overwritten in error. A Switch chip is utilized to separate the Redriver chip from a system management bus (SMbus) controller. A pull-up resistor keeps an SMbus at a Redriver chip/EEPROM side in a pull-up state. The ADC is utilized to monitor the SMbus. When an abnormal low level is monitored, an alarm signal is sent to the SMbus controller to give a risk alarm for an overwrite error. In addition, according to different ADC sampling rates, an SMbus may also be connected between the SMbus controller and an ADC with a high sampling rate, whereby SMbus data can be monitored.

Abstract: Detecting user contact with one or more electrodes of a physiological signal sensor can be used to ensure physiological signals measured by the physiological signal sensor meet waveform characteristics (e.g., of a clinically accurate physiological signal). In some examples, a mobile and/or wearable device can comprise sensing circuitry, stimulation circuitry, and processing circuitry. The stimulation circuit can drive one or more stimulation signals on one or more electrodes, the resulting signal(s) can be measured (e.g., by the sensing circuitry), and the processing circuitry can determine whether a user is in contact with the electrode(s). Additionally or alternatively, in some examples, mobile and/or wearable device can comprise saturation detection circuitry, and the processing circuitry can determine whether the sensing circuitry is saturated.

Abstract: Detecting user contact with one or more electrodes of a physiological signal sensor can be used to ensure physiological signals measured by the physiological signal sensor meet waveform characteristics (e.g., of a clinically accurate physiological signal). In some examples, a mobile and/or wearable device can comprise sensing circuitry, stimulation circuitry, and processing circuitry. The stimulation circuit can drive one or more stimulation signals on one or more electrodes, the resulting signal(s) can be measured (e.g., by the sensing circuitry), and the processing circuitry can determine whether a user is in contact with the electrode(s). Additionally or alternatively, in some examples, mobile and/or wearable device can comprise saturation detection circuitry, and the processing circuitry can determine whether the sensing circuitry is saturated.

Abstract: Disclosed are systems and methods for generating search result data based on machine-encoded text generated by computer vision optical character recognition machine learning techniques performed on digital media. The disclosed systems and methods provide a novel framework for performing machine learning visual search or machine learning text extraction techniques on digital media in order to extract and analyze the data therein and further conduct search queries based on the extracted and analyzed data. The disclosed framework may leverage the aforementioned computer vision machine learning techniques in order to provide a user with relevant search results regarding objects and text detect in digital media captured on a user device.

Abstract: A warehouse storage rack safety system includes a sensor configured to couple to a shelf and generate a signal indicative of a deformation of the shelf, a processor, and a memory, including instructions stored thereon, which when executed by the processor cause the warehouse storage rack safety system to receive the sensed signal and determine an amount of deformation of the shelf based on the signal.