Abstract: A modular air outlet assembly comprises at least two air outlet sub-modules and a housing connecting member, wherein each of the air outlet sub-modules have different functions and are matchingly engaged in a sealed manner, and the air outlet sub-modules comprise a front sub-module and a rear sub-module; the front sub-module comprises a front housing and a front functional component, and the front housing has a standard air inlet joint; the rear sub-module comprises a rear housing and a rear functional component, and the rear housing has a standard air outlet joint and a standard air duct opening joint. A modular approach is used to design the air outlet assembly, and the relative angle between the air outlet sub-modules can be adjusted by means of different housing connecting members to avoid installation limitations in vehicles, and the mold development cost and related costs are reduced.

Abstract: An automatic driving method includes following steps: S101: acquiring real-time traffic environment information in a travel process of an autonomous vehicle at a current moment; S102: mapping the real-time traffic environment information based on a preset mapping relationship to obtain mapped traffic environment information; S103: adjusting a target deep reinforcement learning model based on a pre-stored existing deep reinforcement learning model and the mapped traffic environment information; and S104: judging whether automatic driving is finished, and in response to the automatic driving is not finished, returning to perform the step of acquiring the real-time traffic environment information in the travel process of the autonomous vehicle at the current moment. An automatic driving system, an automatic driving device and a computer medium storing the automatic driving method are further provided.

Abstract: An image segmentation model training method includes acquiring a first image, a second image, and a labeled image of the first image; acquiring a first predicted image according to a first network model; acquiring a second predicted image according to a second network model; determining a reference image of the second image based on the second image and the labeled image of the first image; and updating a model parameter of the first network model based on the first predicted image, the labeled image, the second predicted image, and the reference image to obtain an image segmentation model.

Abstract: The present invention is to provide a method capable of visualizing a coating state of a protein adsorbent even on a substrate having a complicated structure, in particular, for use on a surface of an apparatus for culturing or growing living cells. The method comprises coating a series of substrates with selected protein adsorbents and fluorescent dye, irradiating selected coated substrates and determining a coating state from color development of the substrates.

Abstract: A piezoelectric energy harvester has a layered structure comprising a first electrode, a polymeric piezoelectric material, and a second electrode, the layered structure coupled to receive mechanical stress from the environment, and the first and second electrode electrically coupled to a power converter. The power converter is adapted to charge an energy storage device selected from a capacitor and a battery. The method of harvesting energy from the environment includes providing a piezoelectric device comprising a layer of a polymeric piezoelectric material disposed between a first and a second electrode; coupling mechanical stress derived from an environment to the piezoelectric device; and coupling electrical energy from the piezoelectric device.

Abstract: A multi-legged robot load balancing method, a multi-legged robot, and a storage medium are provided. The method includes: calculating a current position and velocity of a load positioned on a torso according to a value measured by a force sensor; calculating, through a feedback control law, a desired posture of the torso required for keeping a balance of the load according to the current position and the current velocity of the load; determining an expected position of virtual joints according to the desired posture of the torso, and calculating, using a full dynamics control algorithm of the robot, a joint torque for each real joint of the robot according to the expected position; and transmitting the calculated joint torques to the corresponding real joints so that the torso is moved to reach the desired posture by moving the corresponding real joints.

Abstract: A method for a multi-legged robot having a body and a number of legs, includes: obtaining a current pose of the body, forces applied to the body, and joint angles of each of supporting legs of the legs; creating a mapping matrix from the forces applied to the body to desired support forces applied to soles of the supporting legs; obtaining priority targets by prioritizing the forces acting in different directions, determining a weight matrix for each priority target, and creating an optimization model of the support forces for each priority target based on the mapping matrix and the weight matrices; solving the optimization model of each of the priority targets to obtain the desired support forces corresponding to each of the priority targets; and calculating joint torques of the supporting legs for joint control, based on the solved desired support forces and Jacobian matrices corresponding to the supporting legs.

Abstract: The disclosure relates to the technical field of vehicles, and particularly provides a multi-link independent suspension for a vehicle that includes a subframe and a steering knuckle. In order to solve the problem of reduced adjustment efficiency caused by mutual restraining of linkages of an existing multi-link independent suspension when a camber angle is adjusted, the multi-link independent suspension includes a spring control arm that is configured to adjust a camber angle of a wheel center. The multi-link independent suspension also includes a front upper control arm and a rear upper control arm.

Abstract: The present disclosure provides a preparation method of a surimi low-molecular-weight antifreeze peptide, and relates to the technical field of processing of aquatic products. The preparation method includes the following steps: step 1, with Larimichthys crocea as a raw material, decapitating and gutting the L. crocea, crushing the L. crocea into a surimi, decalcifying the surimi, extracting water-soluble crude protein with water, and freeze-drying to obtain the water-extracted crude protein powder of L. crocea; step 2, redissolving the water-extracted crude protein powder of L. crocea obtained in step 1 with water, and enzymatically hydrolyzing it with protease to obtain an enzymatic hydrolysate; and step 3, sonicating and dialyzing the enzymatic hydrolysate obtained in step 2 to obtain a dialysate with a molecular weight no more than 3,500 D, and freeze-drying the dialysate to obtain the surimi low-molecular-weight antifreeze peptide.

Abstract: Systems and methods are described for resource-efficient memory deduplication and write-protection. In an example, a method includes receiving, by a computing device having a processor, a request to assess deduplication for a plurality of candidate files. The computing device may perform one or more iterative steps for deduplication. The iterative steps may include: receiving, from the plurality of candidate files, a candidate file that is not write-protected; determining, based on a predetermined Bernoulli distribution, a decision to write-protect the candidate file; rendering the candidate file as a write-protected candidate file; determining, based on a review of other candidate files from the plurality of candidate files, that the write-protected candidate file can be deduplicated; and deduplicating the write-protected candidate file.

Abstract: Systems and methods are described for resource-efficient memory deduplication and write-protection. In an example, a method includes receiving, by a computing device having a processor, a request to assess deduplication for a plurality of candidate files. The computing device may perform one or more iterative steps for deduplication. The iterative steps may include: receiving, from the plurality of candidate files, a candidate file that is not write-protected; determining, based on a predetermined Bernoulli distribution, a decision to write-protect the candidate file; rendering the candidate file as a write-protected candidate file; determining, based on a review of other candidate files from the plurality of candidate files, that the write-protected candidate file can be deduplicated; and deduplicating the write-protected candidate file.

Abstract: The present invention discloses encoding genes of nitrilase mutants and application thereof. The nucleotide sequence of the gene is shown in SEQ ID No.5, and the amino acid sequence of the mutant is shown in SEQ ID No.6. In the present invention, by the protein molecular modification, thermostability of the purified nitrilase LNIT5 is increased by up to 4.5 folds; and by utilizing recombinant E. coli containing the nitrilase mutant to hydrolyze 1-cyanocyclohexylacetonitrile at a high temperature, product tolerance is increased, activity of NIT5-L201F is increased by 20%, and the mutant NITLNIT5-AcN can completely hydrolyze 750 mM 1-cyanocyclohexylacetonitrile within 8 hours and achieve an doubled conversion rate. Therefore, the mutants obtained by the present invention have a good application prospect in efficiently catalyzing 1-cyanocyclohexylacetonitrile to synthesize gabapentin intermediate, 1-cyanocyclohexyl acetic acid.

Abstract: The present invention discloses a recombinant vector constructed from an encoding gene of a nitrilase mutant, a recombinant genetic engineered strain and application thereof the nucleotide sequence of the gene is shown in SEQ ID No. 5, and the amino acid sequence of the mutant is shown in SEQ ID No. 6. In the present invention, by the protein molecular modification, thermostability of the purified nitrilase LNIT5 is increased by up to 4.5 folds; and by utilizing recombinant E. coli containing the nitrilase mutant to hydrolyze 1-cyanocyclohexylacetonitrile at a high temperature (45° C.), product tolerance is increased, activity of NITS-L201F is increased by 20%, and the mutant NITLNIT5-AcN can completely hydrolyze 750 mM 1-cyanocyclohexylacetonitrile within 8 hours and achieve an doubled conversion rate.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for pricing a callable instrument. A plurality of paths corresponding to the value of an underlying entity of the callable instrument are determined corresponding to a set of dates. The set of dates includes a particular exercise date of the callable instrument. A deep neural network (DNN) of a backward DNN with value reset solver is trained until a convergence requirement is satisfied. The backward DNN with value reset solver propagates in reverse time order from a final value to an initial value based on the path. At the particular exercise date, an expected value is determined and compared to criteria. If the criteria are satisfied the value of the callable instrument at the particular exercise date is set to a reset value, otherwise the value at the particular exercise date is maintained as a value determined via the propagation.

Abstract: A method of video playing is provided. An implementation solution is: obtaining a video playing address list from a video management server, where the video playing address list includes playing links of real-time video streams of a plurality of monitoring cameras; obtaining the real-time video streams of the plurality of monitoring cameras from the video management server according to the video playing address list so as to be played on a screen; obtaining a historical video stream of at least one of the monitoring cameras from a video storage server so as to be played on the screen in response to detecting fault information which indicates that the real-time video stream of the at least one of the monitoring cameras cannot be played; and recording the fault information, where the fault information includes the playing link of the real-time video stream of the at least one of the monitoring cameras.

Abstract: A mask plate is used for manufacturing a pixel definition layer of the display substrate, which includes first transparent patterns and first opaque patterns, and further includes transition structures located between the first transparent patterns and the first opaque patterns. And the transition structures include a plurality of second transparent patterns and second opaque patterns alternately arranged, and a line width of each of the second transparent patterns and each of the second opaque patterns is less than the resolution of an exposure machine by using the mask plate for exposure.

Abstract: Systems and methods for optimizing an online on-demand service are provided. A method may include: obtaining driver information associated with a plurality of historical drivers corresponding to the plurality of historical orders; for each historical driver during a predetermined period of time, determining a plurality of records based on the order information and the driver information according to a decision-making processes, each record includes a driver's space-time status, a driver's action, a driver's revenue, and a driver's subsequent space-time status; and determining a value function based on the plurality of records of each historical driver according to a reinforcement learning algorithm.

Abstract: A calcium-bearing magnesium and rare earth element alloy consists essentially of, in mass percent, zinc (Zn): 1-3%; aluminum (Al): 1-3%; calcium (Ca): 0.1-0.4%; gadolinium (Gd): 0.1-0.4%; yttrium (Y): 0-0.4%; manganese (Mn): 0-0.2%; and balance magnesium (Mg).

Abstract: The disclosure provides a method for preparing drug-linker MC-MMAF for antibody drug conjugates and intermediates therein. The preparation method of the present disclosure improves the reactivity of the N-terminal, thereby effectively controlling the occurrence of racemization; does not directly use the toxin MMAF, but uses fragmented peptides with lower toxicity, which minimizes the operational difficulty in scale-up production; no reverse phase is required and it is easy to prepare and operate.

Abstract: A calcium-bearing magnesium and rare earth element alloy consists essentially of, in mass percent, zinc (Zn): 1-3%; aluminum (Al): 1-3%; calcium (Ca): 0.1-0.4%; gadolinium (Gd): 0.1-0.4%; yttrium (Y): 0-0.4%; manganese (Mn): 0-0.2%; and balance magnesium (Mg).