Abstract: A method of p-type doping a carbon nanotube includes the following steps: providing a single carbon nanotube; providing a layered structure, wherein the layered structure is a tungsten diselenide film or a black phosphorus film; and p-type doping at least one portion of the carbon nanotube by covering the carbon nanotube with the layered structure.

Abstract: The disclosure provides a method for determining a pre-training model, an electronic device and a storage medium, relates to a technical field of computer vision and deep learning, and can be applied to scenes such as image processing and image recognition. The method includes: obtaining a plurality of candidate models; obtaining a structural code of each candidate model by performing structural coding according to model structures of the plurality of candidate models; obtaining a frequency domain code of each candidate model by mapping the structural code of each candidate model using a trained encoder; predicting a model performance parameter of each candidate model according to the frequency domain code of each candidate model; and determining a target model from the plurality of candidate models as a pre-training model according to the model performance parameter of each candidate model.

Abstract: The inventive concepts provide a three-dimensional (3D) image sensor, based on structured light (SL), having a structure in which difficulty in a manufacturing process of a wiring layer is decreased and/or an area of a bottom pad of a capacitor is increased. The 3D image sensor includes: a pixel area including a photodiode in a semiconductor substrate and a gate group including a plurality of gates; a multiple wiring layer on an upper portion of the pixel area, the multiple wiring layer including at least two wiring layers; and a capacitor structure between a first wiring layer on a lowermost wiring layer of the multiple wiring layer and a second wiring layer on the first wiring layer, the capacitor structure including a bottom pad, a top pad, and a plurality of capacitors, wherein the bottom pad is connected to the first wiring layer.

Abstract: An apparatus for holding a medical device includes: a device sheet perpendicular to the ground; and at least one pocket layer, including a first pocket layer, where the first pocket layer is configured as a single first pocket room in its entirety and has a length enabling the medical device to be laid in the first pocket room without coiling in the presence or absence of one or more suspension elements, and the at least one pocket layer has a structure in which an edge of the at least one pocket layer facing the one or more suspension elements is open and other edges thereof are peripherally attached to the device sheet.

Abstract: A method for generating a pre-trained model, includes: extracting, by each of candidate models that are selected from a model set, features from samples in a test set, to obtain features output by each of the candidate models; obtaining fusion features by fusing features output by the candidate models; obtaining prediction information by performing a preset target recognition task based on the fusion features; determining combination performance of the candidate models based on difference between the prediction information and standard information of the samples; and generating the pre-trained model based on the candidate models in response to the combination performance satisfying a preset performance index.

Abstract: A supercapacitor is provided. The supercapacitor includes an elastic fiber, an internal electrode, a first electrolyte layer, and an external electrode. The internal electrode, the first electrolyte layer, and the external electrode are sequentially wrapped on an outer surface of the elastic fiber. The internal electrode includes a first carbon nanotube film and a NiO@MnOx composite structure, and the external electrode includes a second carbon nanotube film and a Fe2O3 layer.

Abstract: A multilayer film having enhanced toughness and optical properties is provided. The multilayer film includes a base layer, an outer layer, and a tie layer between the base layer and the outer layer. The multilayer film can also include additional layers. Methods for making such multilayer films are also provided. Multilayer films according to the present invention are particularly useful packaging applications where rupture resistance and high clarity are desirable.

Abstract: A production line for producing components to a high standard of cleanliness and sealed and protected in that state includes a loading device, a cleaning device, a detecting device, a pasting device, a heat-sealing device, a packing device, and transfer devices of the production line. The production line automatically processes the components for obtaining components with the high cleanliness. By the processes of protective film pasting, heat-sealing, and packing, the components may be further protected from subsequent pollution. A method for producing components with a high cleanliness applied to the production line is also disclosed.

Abstract: A storage unit, a method of manufacturing the storage unit, and a three-dimensional memory. The storage unit includes: a first conductivity-type substrate; a channel layer stacked on the first conductivity-type substrate in a first direction; a second conductivity-type conduction layer including a first part and a second part that are connected, the first part being located between the first conductivity-type substrate and the channel layer, and the second part being formed in a via hole passing through the channel layer; a channel passage layer penetrating the channel layer and the first part in a negative direction of the first direction, and extending into an interior of the first conductivity-type substrate; and an insulating layer located in the channel layer and surrounding a periphery of the channel passage layer. The first conductivity-type substrate and the second conductivity-type conduction layer provide carriers required for reading and erasing operations, respectively.

Abstract: A three-dimensional memory and a method for manufacturing the three-dimensional memory, the three-dimensional memory includes a storage unit and a logic control unit, a front of the storage unit and a front of the logic control unit are attached to each other, and the logic control unit is connected to a control circuit, wherein a second metal line of the storage unit and a first metal line of the storage unit are respectively disposed on upper and lower sides of a channel layer of the storage unit, and the first metal line and the second metal line are electrically connected to the control circuit.

Abstract: There is provided an L-shaped stepped word line structure, a method of manufacturing the same, and a three-dimensional memory.

Abstract: A method and apparatus for compressing a neural network are provided. A specific embodiment of the method includes: acquiring a to-be-compressed trained neural network; selecting at least one layer from layers of the neural network as a to-be-compressed layer; performing following processing steps sequentially on each of the to-be-compressed layers in descending order of the number of level of the to-be-compressed layer: determining a pruning ratio based on a total number of parameters included in the to-be-compressed layer, selecting a parameter for pruning from the parameters included in the to-be-compressed layer based on the pruning ratio and a parameter value threshold, and training the pruned neural network based on a preset training sample using a machine learning method; and determining the neural network obtained after performing the processing steps on the selected at least one to-be-compressed layer as a compressed neural network, and storing the compressed neural network.

Abstract: A method and apparatus for compressing a neural network are provided. A specific embodiment of the method includes: acquiring a to-be-compressed trained neural network; selecting at least one layer from layers of the neural network as a to-be-compressed layer; performing the following processing steps sequentially on each of the to-be-compressed layers in descending order of the number of level of the to-be-compressed layer in the neural network: quantifying parameters of the to-be-compressed layer based on a specified number, and training the quantified neural network based on a preset training sample using a machine learning method; and determining the neural network obtained after performing the processing steps on the selected at least one to-be-compressed layer as a compressed neural network, and storing the compressed neural network. This embodiment achieves efficient compression of the neural network.

Abstract: Disclosed is an image sensor including a substrate having a first surface and a second surface opposite to each other, a first photoelectric conversion region and a second photoelectric conversion region in the substrate, a through electrode between the first and second photoelectric conversion regions, an insulation structure on the second surface of the substrate, a first color filter and a second color filter respectively provided on the first and second photoelectric conversion regions, and a photoelectric conversion layer on the insulation structure and electrically connected to the through electrode. The through electrode include a first end adjacent to the first surface and a second end adjacent to the second surface. The first end has a non-planar shape.

Abstract: An optical-fiber-acceleration-sensor probe is provided, which includes a probe shell having a threaded hole at a bottom thereof and an optical-fiber entry and exit hole on a side thereof; a double-end stud in the probe shell, an end of the double-end stud being connected to the threaded hole; a high damping elastomer sleeved on the double-end stud; a mass block sleeved on the double-end stud and located on the high damping elastomer; an optical fiber interferometer located in the mass block and including a sensing arm and a reference arm, where the sensing arm is wound around the high damping elastomer, and the reference arm is wound around the mass block; high damping vibration absorbers on the mass block; and a nut located at another end of the double-end stud, and on the high damping vibration absorbers, where a washer is between the nut and the high damping vibration absorbers.

Abstract: Provided is an image sensor including a semiconductor substrate having a first surface and a second surface opposite each other, an organic photoelectric conversion device on the first surface of the semiconductor substrate, a through electrode structure connected to the organic photoelectric conversion device, and a pixel separation structure extending from the first surface toward the second surface of the semiconductor substrate. The semiconductor substrate may include a photoelectric conversion region in the semiconductor substrate. The pixel separation structure may surround the photoelectric conversion region when viewed in plan. The pixel separation structure may include a separation conductive pattern and a first sidewall dielectric pattern. The first sidewall dielectric pattern may continuously extend from between the separation conductive pattern and the semiconductor substrate to between the semiconductor substrate and a sidewall of the through electrode structure.

Abstract: The present disclosure provides an intelligent interaction processing method and apparatus, a device and a computer storage medium. The method comprises: performing intention recognition for a preceding feedback item already returned to the user; continuing to return a subsequent feedback item to the user based on the intention of the preceding feedback item. According to the present disclosure, it is possible to guess the user's subsequent intention based on the preceding feedback item, and continue to return the desired subsequent feedback item to the user without the user's operations, so that the present disclosure is more intelligentized and richer and simplifies the user's operations.

Abstract: Network architecture search (NAS) received a lot of attention. The supernet-based differentiable approach is popular because it can effectively share the weights and lead to more efficient search. However, the mismatch between the architecture and weights caused by weight sharing still exists. Moreover, the coupling effects among different operators are also neglected. To alleviate these problems, embodiments of an effective NAS methodology by similarity-based operator ranking are presented herein. With the aim of approximating each layer's output in the supernet, a similarity-based operator ranking based on statistical random comparison is used. In one or more embodiments, then the operator that possibly causes the least change to feature distribution discrepancy is pruned. In one or more embodiments, a fair sampling process may be used to mitigate the operators' Matthew effect that happened frequently in previous supernet approaches.

Abstract: A timing controller includes: a field programmable gate array configured to generate a reference clock signal, and obtain at least one group of clock signals according to the reference clock signal. Each group of clock signals includes at least two clock signals, and a waveform of each clock signal is same as a waveform of the reference clock signal, and active levels in different clock signals are provided with a delay of a preset duration. The reference clock signal includes a first clock sub-signal for first duration and a second clock sub-signal for a second duration. At least one output interface group is connected to the field programmable gate array. Each output interface group includes at least two output interfaces, and each of the at least two output interfaces is configured to output one clock signal of a group of clock signals corresponding to the output interface group.

Abstract: An input method includes receiving input end indication information sent by an input module, where the input end indication information indicates that input of a character or a word ends, obtaining a location of a cursor, identifying the input character or word forward from the location of the cursor until a first punctuation input before the character or the word is identified, using the identified character or word as a previous text, and querying a word library for a next text associated with the previous text, and outputting the associated next text to a display module for displaying.