Abstract: Embodiments of the present disclosure provide an amplitude and phase calibration method and device, a storage medium, and an electronic device. The method includes: receiving a plurality of signals to be calibrated, with the plurality of signals to be calibrated being signals of one or more digital channels; routing the plurality of signals to be calibrated to a plurality of basic units, with each of the basic units configured to process one of the signals to be calibrated; and performing amplitude and phase calibration on the plurality of signals to be calibrated by the plurality of basic units.

Abstract: An apparatus for forming a plurality of microdroplets from a droplet includes a substrate, a dielectric layer on the substrate and having a plurality of hydrophilic surface regions spaced apart from each other by a hydrophobic surface, and a plurality of electrodes covered by the dielectric layer. The electrodes are configured to form an electric field across the droplet in response to voltages provided by a control circuit to move the droplet across the dielectric layer in a lateral direction while leaving portions of the droplet on the hydrophilic surface regions to form the plurality of microdroplets on the hydrophilic surface regions.

Abstract: A ranging method and an apparatus thereof, a storage medium, and a terminal device. By adding a processing unit into a hardware abstraction layer of the terminal device, a software method is thus used to replace a physical proximity sensor (Psensor); in addition, costs are effectively reduced.

Abstract: A BVP10 protein shown in SEQ ID NO:2 for controlling tetranychid mites and use of the protein is provided. The BVP10 protein has a median lethal concentration of 19.07 ?g/mL against Tetranychus urticae, a median lethal concentration of 58.05 ?g/mL against Panonychus citri, a median lethal concentration of 36.08 ?g/mL against Tetranychus cinnabarinus, and a control effect of 79.53%-95.45% against strawberry red spider mites. The protein is provided for preparing a novel mite pesticide.

Abstract: A BVP8 protein for killing tetranychid mites and use thereof are provided. The protein is as set forth in SEQ ID NO. 2. The BVP8 protein has a median lethal concentration of 12.98 ?g/mL against Tetranychus urticae, 33.45 ?g/mL against Panonychus citri, and 26.32 ?g/mL against Tetranychus cinnabarinus, and shows an inhibitory effect against the hatching and cleavage of Tetranychus urticae eggs, with the egg cleavage rate of 75.86% after 72 h. The protein provides a new option for the preparation of a novel miticide.

Abstract: Devices, systems, and methods for performing focused ultrasound-mediated blood-brain barrier opening (FUS-BBBO) are disclosed. Focused ultrasound (FUS) devices are disclosed that include an adapter configured to attach to an actuated mounting shaft of a stereotaxic system, a transducer housing configured to mount to the adapter, and a FUS transducer housed within the transducer housing. A FUS system is disclosed that includes the disclosed FUS device operatively coupled to a transducer driving system. A stereotaxic-guided FUS-BBB system is disclosed that includes the disclosed FUS system mounted to an actuated mounting shaft of a stereotaxic system.

Abstract: A BVP10 protein shown in SEQ ID NO:2 for controlling tetranychid mites and use of the protein is provided. The BVP10 protein has a median lethal concentration of 19.07 ?g/mL against Tetranychus urticae, a median lethal concentration of 58.05 ?g/mL against Panonychus citri, a median lethal concentration of 36.08 ?g/mL against Tetranychus cinnabarinus, and a control effect of 79.53%-95.45% against strawberry red spider mites. The protein is provided for preparing a novel mite pesticide.

Abstract: A BVP8 protein for killing tetranychid mites and use thereof are provided. The protein is as set forth in SEQ ID NO. 2. The BVP8 protein has a median lethal concentration of 12.98 ?g/mL against Tetranychus urticae, 33.45 ?g/mL against Panonychus citri, and 26.32 ?g/mL against Tetranychus cinnabarinus, and shows an inhibitory effect against the hatching and cleavage of Tetranychus urticae eggs, with the egg cleavage rate of 75.86% after 72 h. The protein provides a new option for the preparation of a novel miticide.

Abstract: A ranging method and an apparatus thereof, a storage medium, and a terminal device. By adding a processing unit into a hardware abstraction layer of the terminal device, a software method is thus used to replace a physical proximity sensor (Psensor); in addition, costs are effectively reduced.

Abstract: A method for configuring a set of hardware accelerators to process a CNN. In an embodiment, the method includes one or more computer processors determining a set of parameters related to a feature map to analyze at a respective layer of the CNN, the set of parameters include quantization value and respective values that describe a shape of the feature map. The method further includes configuring a set of hardware accelerators for the respective layer of the CNN. The method further includes receiving a portion of the feature map to the configured set of hardware accelerators for the respective layer of the CNN, wherein the received portion of the feature map includes a group of sequential data slices. The method further includes analyzing the group of sequential data slices among the configured set of hardware accelerators.

Abstract: In an approach for detecting queuing information, a processor analyzes a video monitoring a queue area. A processor detects a queue barrier in the queue area using an instance segmentation technique based on the video. A processor identifies a queue in the queue area using a heuristic technique. A processor recognizes a number of people in the queue. A processor provides an estimation of a wait time for the queue.

Abstract: A method, system, and computer program product for detecting multi-scale objects. The method may include receiving a sample dataset including multi-scale objects associated with a specific environment, where the sample dataset has an existing resolution. The method may also include inputting the sample dataset into a trained neural network, where the trained neural network has a plurality of scale regions. The method may also include processing the sample dataset for detecting the multi-scale objects by means of the trained neural network. The method may also include calculating a distribution of contribution degree in a course of processing the sample dataset, where the contribution degree is associated with each of the plurality of scale regions. The method may also include generating a set of configuration parameters associated with the specific environment for the trained neural network based at least in part on the distribution of contribution degree.

Abstract: A method for configuring a set of hardware accelerators to process a CNN. In an embodiment, the method includes one or more computer processors determining a set of parameters related to a feature map to analyze at a respective layer of the CNN, the set of parameters include quantization value and respective values that describe a shape of the feature map. The method further includes configuring a set of hardware accelerators for the respective layer of the CNN. The method further includes receiving a portion of the feature map to the configured set of hardware accelerators for the respective layer of the CNN, wherein the received portion of the feature map includes a group of sequential data slices. The method further includes analyzing the group of sequential data slices among the configured set of hardware accelerators.

Abstract: A method, system, and computer program product for detecting multi-scale objects. The method may include receiving a sample dataset including multi-scale objects associated with a specific environment, where the sample dataset has an existing resolution. The method may also include inputting the sample dataset into a trained neural network, where the trained neural network has a plurality of scale regions. The method may also include processing the sample dataset for detecting the multi-scale objects by means of the trained neural network. The method may also include calculating a distribution of contribution degree in a course of processing the sample dataset, where the contribution degree is associated with each of the plurality of scale regions. The method may also include generating a set of configuration parameters associated with the specific environment for the trained neural network based at least in part on the distribution of contribution degree.

Abstract: In an approach for detecting queuing information, a processor analyzes a video monitoring a queue area. A processor detects a queue barrier in the queue area using an instance segmentation technique based on the video. A processor identifies a queue in the queue area using a heuristic technique. A processor recognizes a number of people in the queue. A processor provides an estimation of a wait time for the queue.

Abstract: An optimized lithium ion battery cell is disclosed. The battery cell comprises an anode and a cathode. The cathode is coated with a cathode coating comprising a cathode mixture of a cathode powder adapted for an energy cell application, a binder, and a conductive agent. The cathode mixture is of a respective ratio of 3 (binder) to 2 (conductive agent) to 95 (cathode powder). The anode is coated with an anode coating comprising an anode mixture of an anode powder adapted for an energy cell application, a first binder, a second binder, and a conductive agent. The anode mixture is of a respective ratio of 1.5 (first binder) to 2 (conductive agent) to 94 (anode powder) to 2.5 (second binder).

Abstract: A catalyst, including silica and iron. The silica is in the form of a mesoporous spherical particle. The iron is in the form of nanoparticles evenly distributed and encapsulated in the silica. The particle size of the silica is between 140 and 160 nm, and the silica includes pores between 2 and 9 nm in diameter.

Abstract: A system for cogenerating gas-steam based on gasification and methanation of biomass, the system including a gasification unit, a shift unit, a purification unit, a methanation unit, and a methane concentration unit. A waste heat boiler is provided in an upper part of a gasifier of the gasification unit. The methanation unit includes a first primary methanation reactor, a second primary methanation reactor, a first secondary methanation reactor, and a second secondary methanation reactor connected in series. An outlet of the second primary methanation reactor is provided with two bypasses, one of which is connected to an inlet of the first primary methanation reactor, the other of which is connected to the first secondary methanation reactor. The second secondary methanation reactor is connected to the methane concentration unit.

Abstract: A system and a method for accessing data objects provided through an OData service involve receiving, at an application server, a data access request from a client computing device. The data access request specifies in a platform-independent manner an access operation to be performed on a first data object. The application server translates the data access request into an OData compliant request. The OData compliant request is then transmitted to the OData service to perform the access operation.

Abstract: Apparatus, systems, and methods for a medical implant with improved durability and strength. An implant structure having a mesh, wherein struts of the mesh vary in width as a function of length, where one or more segments are defined by one or more corresponding equations that define strut width. Connecting elements may be optionally included and may further optionally vary in width and shape. Strut tapering functions may be one or more segments of piecewise linear equations. Implant mesh structures may be symmetric, asymmetric, or may vary in segments along the length and/or circumference of the mesh. The mesh may be of a self-expanding or balloon expandable material suitable for medical use.