Abstract: Methods of synthesizing nanoparticles of an isotope using a laser beam are described herein. The methods include generating the laser beam, directing the laser beam to the target to convert the target into a plasma state, and bombarding the target in the plasma state with the laser beam to maintain the target in the plasma state and synthesize the nanoparticles of the isotope. During bombarding the target in the plasma state with the laser beam, the laser beam is configured to have a pulse frequency and peak laser intensity that accelerates electrons in the plasma state and maintains the plasma state at a temperature high enough to provide for the synthesis of the nanoparticles of the isotope. Apparatuses for synthesizing nanoparticles of an isotope using a laser beam are also described herein.

Abstract: A lamp holder includes a base body, a cover, and a conductor contact. The base body has a first end and a second end opposite to each other, and is provided with a mounting slot extending along a first direction from the first end towards the second end. The cover is detachably connected to the first end of the base body, wherein the cover and the base body are configured to accommodate a wire therebetween. The conductor contact is disposed within the mounting slot and electrically connected to the wire. A limiting structure is provided on at least one of the base body or the conductor contact, configured to restrict movement of the conductor contact relative to the base body along the first direction.

Abstract: A non-transitory computer readable medium and an in-vehicle sound device relating to convert a vehicle audio into a surround sound and a sound system are provided. The non-transitory computer readable medium stores a computer-program product includes instructions for extracting features of an audio data for debugging based on a vehicle audio signal; performing classification according to the extracted features to separate the audio data into a plurality of single audio signals; mixing the plurality of separated single audio signals, and recording parameters of the current sound mixing algorithm as original sound mixing parameters; pre-configuring a plurality of spatial reverberation modes; debugging the original sound mixing parameters; and determining and saving optimized audio channel equalization parameters and optimized sound mixing parameters corresponding to the spatial reverberation modes as the multi-channel surround sound conversion parameters.

Abstract: The present disclosure relates to the technical field of electric vehicle engineering, and in particular to an electric drive system, a method, an apparatus, a storage medium, an electronic device, and an electric vehicle. A motor and a converter are provided; the motor is configured to comprise a first winding and a second winding; the converter is configured to comprise a first three-phase bridge and a second three-phase bridge; an input end of the first three-phase bridge is configured to be connected to a power source, and an output end of the first three-phase bridge is configured to be connected to the first winding of the motor; and an input end of the second three-phase bridge is configured to be connected to the power source, and an output end of the second three-phase bridge is configured to be connected to the second winding of the motor.

Abstract: Provided is a method of providing a cancer assessment for a subject, comprising (i) measuring a value of one or more cancer traits of at least one tumor associated immune cell (TAIC) or TAIC-derived biomarker in a fluid sample obtained from the subject to obtain a test profile; (ii) comparing the test profile to one or more reference profiles; (iii) wherein similarity or a differential in the test profile to the one or more reference profiles is indicative of one or more cancer characteristics; and (iv) based on the one or more cancer characteristics, providing the cancer assessment of the subject.

Abstract: A method for converting a vehicle audio into a surround sound and a sound system are provided. The method includes: extracting features of an audio data for debugging based on a vehicle audio signal; performing classification according to the extracted features to separate the audio data into a plurality of single audio signals; mixing the plurality of separated single audio signals, and recording parameters of the current sound mixing algorithm as original sound mixing parameters; pre-configuring a plurality of spatial reverberation modes; debugging the original sound mixing parameters; and determining and saving optimized audio channel equalization parameters and optimized sound mixing parameters corresponding to the spatial reverberation modes as the multi-channel surround sound conversion parameters.

Abstract: A detector includes a housing assembly, a detection assembly and a shielding assembly. The detection assembly includes a first housing, a detection circuit board and a probe, the detection circuit board is disposed in the first housing and electrically connected with the probe, the detection circuit board includes a sensitive element, and a first end of the probe is fixed in the first housing while a second end stretches out of the first housing; the housing assembly includes a collision housing and a pressing portion that are capable of sliding in relative to each other, the detection assembly is located below a bottom of the pressing portion, the collision housing is used for abutting against a sampling part, and the pressing portion is used for driving the detection assembly to move towards the sampling part, so as to pierce the probe into the sampling part for detection.

Abstract: Embodiments of a computing device and methods of providing a cancer assessment for a patient are described. The method involves isolating a volume of a fluid from a fluid sample of the patient, the volume of fluid including at least one biomarker; adding at least a portion of the volume of fluid to a nanosensor comprising nanoparticles configured to capture the at least one biomarker and amplify signals emitted by the at least one biomarker during Raman spectroscopy; performing Raman spectroscopy on the volume of fluid on the nanosensor to produce a sample Raman spectrum having amplified signals indicating the presence of the at least one biomarker on the nanosensor; processing the sample Raman spectrum using data from template Raman spectra from known cancer samples; and based on the detected one or more cancer characteristics, providing the cancer assessment of the patient.

Abstract: Embodiments of a computing device and methods of providing a cancer assessment for a patient are described. The method involves isolating a volume of a fluid from a fluid sample of the patient, the volume of fluid including at least one biomarker; adding at least a portion of the volume of fluid to a nanosensor comprising nanoparticles configured to capture the at least one biomarker and amplify signals emitted by the at least one biomarker during Raman spectroscopy; performing Raman spectroscopy on the volume of fluid on the nanosensor to produce a sample Raman spectrum having amplified signals indicating the presence of the at least one biomarker on the nanosensor; processing the sample Raman spectrum using data from template Raman spectra from known cancer samples; and based on the detected one or more cancer characteristics, providing the cancer assessment of the patient.

Abstract: Systems and methods are disclosed herein for detecting impurities of harvested plants in a receptacle of a harvester. In an embodiment, a harvester controller receives, from a camera facing the contents of the receptacle, an image of the contents. The harvester controller applies the image as input to a machine learning model. The harvester controller receives, as output from the machine learning model, an identification of an impurity of the harvested plants. The harvester controller transmits a control signal based on the impurity.

Abstract: Methods of synthesizing nanoparticles of an isotope using a laser beam are described herein. The methods include generating the laser beam, directing the laser beam to the target to convert the target into a plasma state, and bombarding the target in the plasma state with the laser beam to maintain the target in the plasma state and synthesize the nanoparticles of the isotope. During bombarding the target in the plasma state with the laser beam, the laser beam is configured to have a pulse frequency and peak laser intensity that accelerates electrons in the plasma state and maintains the plasma state at a temperature high enough to provide for the synthesis of the nanoparticles of the isotope. Apparatuses for synthesizing nanoparticles of an isotope using a laser beam are also described herein.

Abstract: Methods, systems, and apparatus for recommending alternative destinations in ride-sharing services are provided. A computing device implementing the method may start with receiving a trip request from a user device. The trip request may include an origin and a destination. Then the computing device classifies the trip request into one of a plurality of trip purpose categories based at least on the origin and the destination of the trip request, the rider's information, and a machine-learning classifier trained to predict the one trip purpose category of the trip request. In response to the one trip purpose category belonging to a preset group of trip purpose categories, the computing device determines one or more alternative destinations for the trip request, and sends to the user device, the one or more alternative destinations.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for testing a plurality of variants among a plurality of users. One of the methods includes: determining a spatial granularity to divide an area into a plurality of grid cells; randomly splitting the plurality of grid cells into a plurality of testing groups, wherein a quantity of the plurality of testing groups is determined based on a quantity of the multiple versions of the feature to be tested; determining a temporal granularity to divide a testing period into a plurality of testing intervals; during each of the plurality of testing intervals, respectively assigning the multiple versions of the feature to the plurality of testing groups; and obtaining a treatment effect for each of the multiple versions of the feature and determining an optimal version of the feature.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for carpool dual-pricing in ridesharing are provided. An exemplary method comprises: determining an expected trip count based on a plurality of carpool requests in a pricing unit and a pair of price adjustment multipliers applied to the pricing unit; for each of the plurality of carpool requests, generating a carpool matching probability of the carpool request by a second machine learning model based on the first expected trip count; constructing one or more Key Performance Indicator (KPI) models based on the plurality of carpool matching probabilities and the pair of price adjustment multipliers; and determining optimal values of the pair of price adjustment multipliers based on an optimization model maximizing an aggregated value of the one or more KPI models.

Abstract: The present invention provides an impulsive noise suppression method based on dual-microphone architecture, applied to a hearing aid comprising a first feedforward microphone, a second feedforward microphone, and a speaker, and a sensitivity level of the first feedforward microphone is less than a sensitivity level of the second feedforward microphone, wherein the method comprising: obtaining an input signal comprising a first signal provided through the first microphone and a second signal provided through the second feedforward microphone; determining whether the input signal comprises an impulsive signal according to a first time-domain signal energy value of the first signal and a second time-domain signal energy value of the second signal; and performing an impulsive signal suppression operation on the input signal if the input signal comprises the impulsive signal.

Abstract: The disclosure provides a chain type stepless transmission, including: a box, a pair of active cone discs including a fixed cone disc and a moving cone disc, a pair of passive cone discs including a fixed cone disc and a moving cone disc, an input shaft, an output shaft and a chain, there are a group of pulleys in the middle of each pair of passive cone discs and in the middle of each pair of active cone discs respectively, and the number of the group of pulleys may be an arbitrary value, such as 2, 3, 4, 5, 6, 7, 8, etc. In the stepless transmission, the fixed cone disc and the moving cone disc then transmit power from the input shaft to the output shaft through the chain, thereby realizing a high power of power transmission and a high torque.

Abstract: Itineraries may be recommended using rider context information relating to a rider. The rider context information may be obtained from various sources. Location information including an origin and a destination may obtained. A set of itineraries may be generated based on the rider context information. Each itinerary may include at least one mode of transportation to allow the rider to travel from the origin to the destination. Each itinerary in the set of itineraries may be ranked based on the rider context information.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining a plurality of context-based subscription products in a ride-hailing platform are described. An exemplary method may include: determining a plurality of transportation contexts to which a plurality of context-based subscription products are applicable; obtaining a plurality of historical trip-requesting sessions between a plurality of riders and the ride-hailing platform, and a plurality of historical subscription products offered to the plurality of riders; constructing at least one key performance indicator (KPI) model that predicts a reward for the ride-hailing platform offering the plurality of context-based subscription products to the plurality of riders; constructing an optimization model to maximize a weighted sum of the at least one KPI model; and determining optimal values of the plurality of parameter vectors corresponding to the plurality of context-based subscription products.