Abstract: A bogie includes a bogie frame, a first running wheel and a second running wheel, at least one driving device, a first horizontal wheel, a second horizontal wheel, a first horizontal safety wheel connected to the first horizontal wheel and moving in synchronization with the first horizontal wheel, and a second horizontal safety wheel connected to the second horizontal wheel and moving in synchronization with the second horizontal wheel. The bogie frame has a straddle recess suitable for straddling a rail. The first running wheel and the second running wheel are pivotably mounted onto the bogie frame respectively and are coaxially spaced apart. The at least one driving device is mounted onto the bogie frame and located between the first running wheel and the second running wheel to drive the first running wheel and the second running wheel.

Abstract: A heat transfer tube includes a twisted baffle arranged in an inner wall of the tube. The twisted baffle extends spirally along an axial direction of the heat transfer tube. The twisted baffle is provided with a non-through gap extending along an axial direction of the heat transfer tube from an end to the other end of the twisted baffle. A cracking furnace uses the heat transfer tube. The heat transfer tube and cracking furnace have good heat transfer effects and small pressure loss.

Abstract: The present disclosure provides antibody-drug conjugate structures, that include a cleavable linker having a sulfatase-cleavable moiety. The disclosure also encompasses methods of production of such conjugates, as well as methods of using the same.

Abstract: A rail transport system includes a rail (10) provided with a first concave portion built thereon, and a rail vehicle comprising a bogie (21) and a vehicle body (22). The bogie (21) has a second concave portion (110) for straddling the rail (10), the bogie (21) movably straddles the rail (10), and the vehicle body (22) is connected to the bogie (21) and is pulled by the bogie (21) to run along the rail (10). The rail transport system according to embodiments of the present disclosure has the advantages of simple structure, low cost, small occupied space, and high stability.

Abstract: A method for generating a multilayer neural network including acquiring a multilayer neural network, wherein the multilayer neural network includes at least convolutional layers and quantization layers; generating, for each of the quantization layers in the multilayer neural network, quantization threshold parameters based on a quantization bit parameter and a learnable quantization interval parameter in the quantization layer; and updating the multilayer neural network to obtain a fixed-point neural network based on the generated quantization threshold parameters and operation parameters for each layer in the multilayer neural network.

Abstract: The present disclosure discloses a rail transport system. The rail transport system includes: a rail, where the rail is provided with an escape passage; and a rail vehicle, where the rail vehicle includes a vehicle body and a plurality of bogies, the plurality of bogies respectively movably straddles the rail, and the vehicle body is connected to the plurality of bogies and pulled by the plurality of bogies to travel along the rail; and the vehicle body includes a plurality of compartments hinged sequentially along a length direction of the rail, the plurality of compartments forms at least one compartment group, the compartment group includes three compartments hinged sequentially, and the bottom of each of only compartments that are located at two ends of the compartment group and that are of the three compartments is connected to the bogie.

Abstract: The present disclosure discloses a rail for a straddle-type rail transport system, where a straddle recess is constructed on the rail to form an escape passage. The rail for a straddle-type rail transport system according to these embodiments of the present disclosure has advantages such as facilitation of evacuation of passengers in an emergency, low costs, small occupied space, small weight bearing, and high stability.

Abstract: The present disclosure provides a bogie, a rail vehicle having same, and a rail transport system. The bogie includes: a bogie frame, where the bogie frame has a straddle recess straddling a rail; a first running wheel and a second running wheel, where the first running wheel and the second running wheel are pivotably mounted onto the bogie frame respectively and are coaxially spaced apart; a third running wheel and a fourth running wheel, where the third running wheel and the fourth running wheel are pivotably mounted onto the bogie frame respectively and are coaxially spaced apart; a driving device, where the driving device is located between the first running wheel and the second running wheel, and the first running wheel and the second running wheel are driven by the driving device; and/or the driving device is located between the third running wheel and the fourth running wheel, and the third running wheel and the fourth running wheel are driven by the driving device.

Abstract: The present disclosure provides variant type V CRISPR/Cas effector polypeptides, fusion polypeptides comprising the variant type V CRISPR/Cas effector polypeptides, and nucleic acids comprising nucleotide sequences encoding the variant polypeptides and fusion polypeptides. The present disclosure provides methods of binding, or binding and nicking, a target nucleic acid, using a variant type V CRISPR/Cas effector polypeptide of the present disclosure. The present disclosure provides methods of detecting a single-stranded DNA, using a variant type V CRISPR/Cas effector polypeptide of the present disclosure.

Abstract: A method of generating a quantized neural network comprises: determining, based on a floating-point weight in a neural network to be quantized, networks which correspond to the floating-point weights and are used for directly outputting quantized weights, respectively; quantizing, using the determined network, the floating-point weight corresponding to the network to obtain a quantized neural network; updating, based on a loss function value obtained via the quantized neural network, the determined network, the floating-point weight and the quantized weight in the quantized neural network.

Abstract: Described herein are methods and compositions for nerve delivery molecules that carry imaging cargo or therapeutic cargo to the neurons or nerves.

Abstract: A training and application method for a neural network model is provided. The training method determines the first network model to be trained and sets a downscaling layer for at least one layer in the first network model, wherein the number of filters and filter kernel of the downscaling layer are identical to those of layers to be trained in the second network model. Filter parameters of the downscaling layer are transmitted to the second network model as training information. By this training method, training can also be performed even when the scale of the layer for training in the first network model is different from that of the layers to be trained in the second network model, and the amount of lost data is small.

Abstract: Disclosed herein is a selective delivery molecule comprising: (a) an acidic sequence (portion A) which is effective to inhibit or prevent the uptake into cells or tissue retention, (b) a molecular transport or tissue retention sequence (portion B), and (c) a linker between portion A and portion B, and (d) cargo moieties (portion DA and DB).

Abstract: The present invention relates to the field of fluid heat transfer, and discloses a heat transfer enhancement pipe as well as a cracking furnace and an atmospheric and vacuum heating furnace including the same. The heat transfer enhancement pipe (1) includes a pipe body (10) of tubular shape having an inlet (100) for entering of a fluid and an outlet (101) for said fluid to flow out; internal wall of the pipe body (10) is provided with a fin (11) protruding towards interior of the pipe body (10), wherein the fin (11) has one or more fin sections extending spirally in the axial direction of the pipe body (10), and each fin section has a first end surface facing the inlet (100) and a second end surface facing the outlet (101), at least one of the first end surface and the second end surface of at least one of the rib sections is formed as a transition surface along spirally extending direction.

Abstract: The present invention relates to the field of fluid heat transfer, and discloses a heat transfer enhancement pipe as well as a cracking furnace and an atmospheric and vacuum heating furnace including the same. The heat transfer enhancement pipe (1) includes a pipe body (10) of tubular shape having an inlet (100) for entering of a fluid and an outlet (101) for said fluid to flow out; the internal wall of the pipe body (10) is provided with a fin (11) protruding towards the interior of the pipe body (10), the fin (11) spirally extends in an axial direction of the pipe body (10), wherein at least one of a heat insulator (14) and a heat insulating layer (17) is provided at the outside of the pipe body (10). The heat transfer enhancement pipe can reduce thermal stress of itself, thereby increasing service life of the heat transfer enhancement pipe.

Abstract: Described herein are methods and compositions for nerve delivery molecules that carry imaging cargo or therapeutic cargo to the neurons or nerves.

Abstract: Described herein are methods and compositions for the targeted delivery of therapeutic agents and imaging agents.

Abstract: A training and application method, apparatus, system and storage medium of a neural network model is provided. The training method comprises: determining a constraint threshold range according to the number of training iterations and a calculation accuracy of the neural network model, and constraining a gradient of a weight to be within the constraint threshold range, so that when the gradient of a low-accuracy weight is distorted due to a quantization error, the distortion of the gradient is corrected by the constraint of the gradient, thereby making the trained network model achieve the expected performance.

Abstract: Described herein are methods and compositions for intracellular delivery of therapeutic molecules. Disclosed herein are selective delivery conjugate comprising a targeting ligand conjugated to a selective delivery molecule (a) an acidic sequence (portion of A) which is effective to inhibit or prevent the uptake into cells or tissue retention, (b) a molecular transport or retention sequence (portion of B), and (c) a linker between portion of A and portion of B, and (d) at least one cargo moiety. Also, described are selective delivery molecules comprising a second linker comprising an intracellular cleavage site and optionally a self-immolative cleavage site.