Abstract: Disclosed herein are immunoglobulin constructs comprising at least one immunoglobulin domain or fragment thereof; and a therapeutic polypeptide or derivative or variant thereof attached to or inserted into said immunoglobulin domain. Also provided are immunoglobulin constructs comprising a mammalian immunoglobulin heavy chain comprising at least a portion of a knob domain in the complementarity-determining region 3 (CDR3H) or fragment thereof; and a therapeutic polypeptide attached to or inserted into said knob domain of the CDR3H. Also provided are immunoglobulin constructs comprising a mammalian immunoglobulin heavy chain comprising at least a portion of a stalk domain in the complementarity-determining region 3 (CDR3H) or fragment thereof; and a therapeutic polypeptide attached to or inserted into said stalk domain of the CDR3H. Also described herein are methods and compositions comprising the immunoglobulin constructs described herein for treatment and prevention of a disease or condition in a subject.

Abstract: An automatic coal mining machine and a fluidized coal mining method are provided. A first excavation cabin is configured to cut coal seam to obtain raw coal and to be transported to a first coal preparation cabin for separating coal blocks from gangue. Then, the obtained coal blocks are transported to a first fluidized conversion reaction cabin. The first fluidized conversion reaction cabin converts the energy form of the coal block into liquid, gas or electric energy, which is transported to a first energy storage cabin for storing. Coal mining and conversion are carried out in underground coal mines, so it is not necessary to raise coal blocks to the ground for washing and conversion, thereby reducing the transportation cost of coal, improving the utilization degree of coal, and avoiding the pollution of the ground environment caused by waste in the mining and conversion process.

Abstract: The present disclosure provides a substrate-enhanced comparator and electronic device, the comparator including: a cross-coupled latch, for connecting input signals to the gate of a cross-coupled MOS transistor to form a first input of the latch; output buffers, connected to the cross-coupled latch for amplifying output signals of the latch; AC couplers, connected to the output buffers for receiving and amplifying the output signals of the latch, coupling the output signals to substrates of the cross-coupled MOS transistors to form second inputs of the latch. The cross-coupled latch is also for output signal regenerative latching based on input signals sampled at the first inputs and input signals sampled at the second inputs. The present disclosure introduces additional substrate inputs to the cross-coupled structure of the conventional latch as the second inputs of the latch.

Abstract: The present disclosure provides a method for generating a high dynamic range image from a low dynamic range image, including performing grey-level adjustment on a low dynamic range image to be processed in accordance with a preset mapping relationship to obtain an image after the grey-level adjustment, the grey-level adjustment includes inverse-gamma correction and grey-level value increase; selecting a plurality of saturation areas in the image after the grey-level adjustment; performing grey-level enhancement of the saturation areas in the image after the grey-level adjustment, to obtain a target high dynamic range image; and outputting the target high dynamic range image.

Abstract: The invention provides a processing circuit with multiple power supply ports and an electronic device. The processing circuit includes: N power supply ports; a first-level power supply; N middle transmission modules, connected between the first-level power supply and the corresponding power supply port, wherein at least one of which is used as a second-level power supply; and a charging protocol control module. The charging protocol control module is respectively connected to the first-level power supply, the N power supply ports, and the N middle transmission modules. The second-level power supply operates in a switching power mode or a pass through mode. In the pass through mode, the output voltage of the second-level power supply matches the input voltage received by the first-level power supply, and the output voltage of the second-level power supply is not adjustable.

Abstract: A thin film transfer vehicle is provided, which includes a base frame, a bearing frame and a baffle disposed on the base frame; the bearing frame is provided with multiple support layers from top to bottom, and the multiple support layers are configured to carry multiple thin films respectively; the baffle is disposed in front of the bearing frame along a moving direction of the transfer vehicle, and multiple openings are disposed on the baffle, which are disposed in multiple rows and columns; and the support layers correspond to positions between two adjacent rows of the openings.

Abstract: The present disclosure provides a shift register unit, a driving method thereof, a gate driving circuit and a display device. The shift register unit includes a pull-up node state maintenance circuitry connected to a pull-up node and a first control voltage input end, and configured to control the pull-up node to be electrically connected to, or electrically disconnected from, the first control voltage input end in accordance with a potential at the pull-up node and an input potential at the first control voltage input end.

Abstract: Aspects of the disclosure are directed to a training method and apparatus of an adversarial attack model, a generating method and apparatus of an adversarial image, an electronic device, and a storage medium. The adversarial attack model can include a generator network, and the training method can include using the generator network to generate an adversarial attack image based on a training digital image, and performing an adversarial attack on a target model based on the adversarial attack image, to obtain an adversarial attack result. The training method can further include obtaining a physical image corresponding to the training digital image, and training the generator network based on the training digital image, the adversarial attack image, the adversarial attack result, and the physical image.

Abstract: A phase calibration method includes: segmenting a received measurement sequence according to a preset rule; respectively determining a phase calibration factor of each of segmented measurement sequences, wherein the each of the segmented measurement sequences respectively corresponds to a segmented phase; and when performing a phase calibration on a sequence to be verified, according to a matching relation between a phase of the sequence to be verified and the each of the segmented phases, using the phase calibration factor corresponding to a matched segmented phase to perform the phase calibration on the sequence to be verified. The embodiments of the phase calibration method and the device are equivalent to dividing a non-linear measurement sequence into several approximately linear measurement sequences, and then calibrating each of the several approximately linear measurement sequences using a corresponding phase calibration factor respectively.

Abstract: Methods and systems for mining minority-class data samples are described. A minority-class mining service receives activations generated by an inner-layer of a client neural network that has been trained to perform a prediction task that involves classification. The minority-class mining service generates a recalibrated activation using a recalibration neural network, and generates an anomaly detector output using an anomaly detector. From the anomaly detector output, a minority-class score is computed for the data sample represented by a received activation. The computed minority-class score is compared against a minority-class threshold to identify a candidate minority-class data sample. The candidate minority-class data sample can then be labeled and added to the training dataset for the client neural network.

Abstract: A distributed storage method includes offline merging, by a first thread service of a distributed storage system, M small files in a file system; generating, by the first thread service, M pieces of metadata in the offline merging process; loading, by a second thread service of the distributed storage system, the M pieces of metadata into a metadata set; searching, by the second thread service, the metadata set for metadata of a first small file when the second thread service receives a first instruction; and performing, by the second thread service, the operation corresponding to the first instruction when the second thread service finds the metadata of the first small file in the metadata set.

Abstract: A 1 GPa high-strength high-modulus aluminum-based light medium-entropy alloy and a preparation method thereof. An atomic expression of the designed medium-entropy alloy is AlxLiyMgzZnuCuv, subscripts representing the molar percentage of each corresponding alloy element, where x+y+z+u+v=100, x is 79.5-80.5, y is 1.5-2.5, z is 1.5-2.5, u is 13.5-14.5, and v is 1.5-2.5. The phase structure of the involved alloy is mainly based on a face-centered cubic (FCC) solid solution. The present invention obtains high performance aluminum alloy ingots through vacuum induction smelting and direct casting, and features low energy consumption, decreased cost, and simple operation in the preparation process, which cater to the high requirements on cost, strength and plasticity of light alloys applied in the high-end manufacturing industries such as aerospace and automobile electronics nowadays.

Abstract: The present disclosure relates to a method for modifying or marking an amino group in a molecule, wherein the amino group in the molecule is modified or marked with zolinium(s) shown in the following formula 1, wherein the molecule comprises amino acid ester, aminoamide, or peptide/protein. The method has advantages of economy and site selectivity, and has huge potential application value in the field such as pharmaceutical molecular synthesis, probe molecule and diagnostic marker reagent development.

Abstract: In network devices, during manufacturing, input for designation of a region code to be a non-specific region code is stored in a BIOS memory of the network device, and a specific region code is stored off the BIOS. During boot up, the BIOS is checked for a specific region code to regulate wireless transmissions at a physical location of operation. Responsive to receiving the non-specific region code from BIOS, the specific region code is requested from a region code server based on a network device identifier. Once received, the region code is stored in flash memory, until rebooted or otherwise reset, rather than BIOS.

Abstract: Disclosed herein are methods of producing metal nanoparticle-decorated carbon nanotubes. The methods include forming a reaction mixture by combining a first solution with a second solution, wherein the first solution comprises polymer-coated metal nanoparticles comprising metallic nanoparticles coated with a polymer, and wherein the second solution comprises carbon nanotubes. The methods also include heating the reaction mixture to a temperature greater than a glass transition temperature of the polymer for a time sufficient to cause the polymer-coated metal nanoparticles to bind to the carbon nanotubes forming the metal nanoparticle-decorated carbon nanotubes.

Abstract: A processor may receive a recording. The recording may include one or more user guidance sequences and be displayed to a user. The processor may receive a first user input response to an initiation of a first user guidance sequence. The processor may determine, in response to receiving the first user input, that there is a discrepancy between the first user input and the first user guidance sequence. The processor may automatically modify the playback setting of the recording. The processor may display the discrepancy between the first user input and the first user guidance sequence to the user.

Abstract: An error extraction method for foreground digital correction of a pipeline analog-to-digital converter including: acquiring a transmission curve of a pipeline analog-to-digital converter, and controlling an input signal to be within a sub-segment 0 of the transmission curve; during extraction of error information of an ith pipeline stage, setting a magnitude of the input signal according to Formula (I); locking the outputs of all previous-stage comparators in the ith pipeline stage of the pipeline analog-to-digital converter; and completing, according to original output code of the pipeline analog-to-digital converter, error extraction by means of adaptive iteration, stage-by-stage, sequentially from a last stage to a first stage of a pipeline.

Abstract: Label-based document classification using artificial intelligence includes collecting, by one or more processors, a plurality of pre-trained classification models into a model pool and a plurality of documents into a document pool. The collected plurality of pre-trained classification models are applied in parallel to the plurality of documents in the document pool to generate a list of labels. Based on the list of labels, a final label result is generated according to which a baseline algorithm for document classification is generated by the one or more processors.