Abstract: Methods of welding high manganese steel, the methods comprising: supplying at least one piece of high manganese steel; supplying the metal cored wire comprising a steel sheath with a core comprising powders of certain metal and carbon percentages and at least one of: i: sulfur in an amount less than 0.3 wt. %; or ii. phosphorous in an amount less than 0.03 wt. %; or a combination thereof; and the balance with iron; submerging the at least one piece of high manganese steel in a slag and arc stabilizer; and applying a current to the metal cored wire to produce a liquid alloy steel composition on the at least one piece of high manganese steel.

Abstract: The present disclosure relates to the field of EV-DWPT (electric vehicle dynamic wireless power transfer), and specifically discloses a double solenoid EV-DWPT system and a parameter optimization method thereof. The system is provided with a magnetic coupling mechanism, comprising a transmitting structure and a receiving structure. The transmitting structure includes a plurality of double solenoid transmitting rails arranged equidistantly along a road direction. Each double solenoid transmitting rail includes a square tubular magnetic core perpendicular to the road surface, and transmitting solenoids wound spirally using one and the same Litz wire wound in opposite directions.

Abstract: A transmission method includes creating an automatic repeat request process for a first packet; setting a lifetime for the automatic repeat request process; and sending the first packet; and when a preset retransmission condition in the lifetime of the automatic repeat request process is satisfied, retransmitting a second packet; where the preset retransmission condition includes that at least part of the time instants within the first predetermined time interval after an incorrect-reception acknowledgement frame returned by the receiver is received is beyond the lifetime of the automatic repeat request; where retransmitting the second packet includes: extending the lifetime of the automatic repeat request process to a third predetermined time interval following the first predetermined time interval, where the third predetermined time interval is at least a time period required for retransmitting the second packet; and retransmitting the second packet after the first predetermined time interval.

Abstract: A composition and use thereof. The composition comprises an active component a and an active component b; the active component a is a compound as shown in general formula A; and the active component b is at least one of compounds which have insecticidal, acaricidal or bactericidal activity and are different from the compound as shown in general formula A. The composition has the advantages of synergistic effect and expanding prevention and treatment spectrum, and can be used for preventing and treating various pests, particularly mite damage, and plant diseases caused by various fungi, bacteria, nematodes and viruses.

Abstract: A laser device for providing light to a LiDAR system comprises a plurality of seed lasers configured to provide multiple seed light beams, at least two of the seed light beams having different wavelengths. An amplifier is optically coupled to the plurality of seed lasers to receive the multiple seed light beams. A power pump is configured to provide pump power to the amplifier, where the amplifier amplifies the multiple seed light beams using the pump power to obtain amplified light beams. A second light coupling unit is configured to demultiplex the amplified light beams to obtain a plurality of output light beams, at least two of the output light beams having wavelengths corresponding to the wavelengths of the at least two seed light beams.

Abstract: The present disclosure provides a beamforming report transmission method, a communication node and a computer-readable storage medium, the beamforming report transmission method includes: receiving, by a first communication node, a beamforming report sent by a third communication node, where the beamforming report includes at least one of a beamforming result or a channel quality measurement result between the third communication node and at least one second communication node.

Abstract: The present disclosure relates to the field of EV-DWPT (electric vehicle dynamic wireless power transfer), and specifically discloses a double solenoid EV-DWPT system and a parameter optimization method thereof. The system is provided with a magnetic coupling mechanism, comprising a transmitting structure and a receiving structure. The transmitting structure includes a plurality of double solenoid transmitting rails arranged equidistantly along a road direction. Each double solenoid transmitting rail includes a square tubular magnetic core perpendicular to the road surface, and transmitting solenoids wound spirally using one and the same Litz wire wound in opposite directions.

Abstract: A knitted component comprising two yarns, forming at least a heel region of an upper for an article of footwear, where one of the yarns comprises a thermoplastic material. The outer surface may include a fused area comprising a first thermoplastic yarn. The inner surface may be at least partially formed with a second yarn and may substantially exclude the thermoplastic material. There may be a transitional area including a reduced amount of thermoplastic material relative to a fused area. The knitted component may include a cushioning material between layers of the knit element.

Abstract: Provided are systems and processes for optimizing assignments of deliveries for perishable goods. In one aspect, a method is provided for pairing a set of created orders with a set of available couriers. The set of created orders may include orders confirmed by the merchant and the set of available couriers include couriers that are online with an active status. Feasible pairings are generated between each courier and each created order. Infeasible pairings are eliminated based on factors such as transportation mode. Possible routes for each pairing are generated and scored based on weighted factors. The scores are optimized to achieve a set of routes with a maximum score. The routes are then offered to the corresponding courier if the courier will arrive at or after the created order is completed by the merchant. A neural network may be implemented to recognize the optimal score for a given duration.

Abstract: A screening method of individualized tumor neoantigen peptide and a vaccine preparation thereof are provided. The screening method includes: Step 1, collecting and collating variable information for mutation producing a neoantigen and an antigenic peptide; Step 2, calculating according to a formula to obtain a score of each antigenic peptide; Step 3, arranging the antigen peptides in a descending order according to iNeo_Score, and selecting the antigen peptides from top to bottom successively; Step 4, continuing to select an antigenic peptide until enough candidate antigenic peptides are obtained or all of candidate antigenic peptides are selected so as to obtain screened antigenic peptides; and Step 5, grouping the screened antigen peptides into preparation groups. The designed individualized tumor neoantigen peptide is screened and prepared into a preparation in the disclosure, which includes screened antigen peptide, inorganic salt and an excipient. The preparation can be made into small-volume injection.

Abstract: Provided are various systems and processes for improving last-mile delivery of real-time, on-demand orders for perishable goods. In one aspect, an automated vehicle (AV) comprises a body including a storage compartment for storing perishable goods. The storage compartment is accessible by a user upon authentication of the user. The AV further comprises a sensor module for receiving data for navigating the AV. The sensor module is positioned above the body on a support structure at a predetermined height above the ground, such as three to five feet. The data includes one or more of the following: audio data, video data, radio waves, and backscattered light waves. The AV further comprises an onboard computer system configured to process the data to navigate the AV along motor vehicle routes and pedestrian routes. The AV may be configured to interface with an automated locker system to retrieve or deposit the perishable goods.

Abstract: Provided are various systems and processes for improving last-mile delivery of real-time, on-demand orders for perishable goods. In one aspect, a method is provided for aggregating on-demand deliveries using a depot dispatch protocol which may implement automated order transport and retrieval systems. The method comprises dispatching merchant couriers to transport on-demand orders from merchants to a merchant depot where the orders are aggregated and batched based on optimized delivery routes and destination proximities. Batches of orders are then transported to a customer depot corresponding to an area of delivery destinations. Orders are then assigned to delivery couriers for completion of delivery to customers. Such delivery routing systems and processes may be implemented alongside a delivery tracking system for generating estimated time of arrival predictive updates for real-time delivery of perishable goods.

Abstract: Described are systems and processes for generating dynamic estimated time of arrival predictive updates for delivery of perishable goods. In one aspect a system is configured for generating dynamic estimated time of arrival (ETA) predictive updates between a series of successive events for real-time delivery of orders. For each order, a plurality of delivery events and corresponding timestamps are received from devices operated by customers, restaurants, and couriers. Based on the timestamps, the system generates a plurality of ETA time predictions for one or more of the delivery events with trained predictive models that use weighted factors including historical restaurant data and historical courier performance. As additional timestamps are received for a delivery event, the trained predictive models dynamically update the ETA time predictions for successive events. The predictive models may be continuously trained by updating the weighted factors based on the received timestamps.

Abstract: Provided are various systems and processes for improving last-mile delivery of real-time, on-demand orders for perishable goods. In one aspect, an automated vehicle (AV) comprises a body including a storage compartment for storing perishable goods. The storage compartment is accessible by a user upon authentication of the user. The AV further comprises a sensor module for receiving data for navigating the AV. The sensor module is positioned above the body on a support structure at a predetermined height above the ground, such as three to five feet. The data includes one or more of the following: audio data, video data, radio waves, and backscattered light waves. The AV further comprises an onboard computer system configured to process the data to navigate the AV along motor vehicle routes and pedestrian routes. The AV may be configured to interface with an automated locker system to retrieve or deposit the perishable goods.

Abstract: Provided are various mechanisms and processes for optimizing real-time, on-demand delivery service for perishable goods. In one aspect, a method is provided for aggregating on-demand deliveries using a depot dispatch protocol. The method comprises dispatching runners to pick up on-demand orders for drop off at a depot where the orders are aggregated and batched based on optimized delivery routes and destination proximities. Batches of orders are then assigned to couriers who may arrive at the depot to receive the batched orders without having to navigate through areas of high congestion. Such delivery routing system may be implemented alongside a delivery tracking system for generating estimated time of arrival predictive updates for real-time delivery of perishable goods.

Abstract: Provided are various systems and processes for improving last-mile delivery of real-time, on-demand orders for perishable goods. In one aspect, an automated vehicle (AV) comprises a body including a storage compartment for storing perishable goods. The storage compartment is accessible by a user upon authentication of the user. The AV further comprises a sensor module for receiving data for navigating the AV. The sensor module is positioned above the body on a support structure at a predetermined height above the ground, such as three to five feet. The data includes one or more of the following: audio data, video data, radio waves, and backscattered light waves. The AV further comprises an onboard computer system configured to process the data to navigate the AV along motor vehicle routes and pedestrian routes. The AV may be configured to interface with an automated locker system to retrieve or deposit the perishable goods.

Abstract: Provided are various systems and processes for improving last-mile delivery of real-time, on-demand orders for perishable goods. In one aspect, an automated vehicle (AV) comprises a body including a storage compartment for storing perishable goods. The storage compartment is accessible by a user upon authentication of the user. The AV further comprises a sensor module for receiving data for navigating the AV. The sensor module is positioned above the body on a support structure at a predetermined height above the ground, such as three to five feet. The data includes one or more of the following: audio data, video data, radio waves, and backscattered light waves. The AV further comprises an onboard computer system configured to process the data to navigate the AV along motor vehicle routes and pedestrian routes. The AV may be configured to interface with an automated locker system to retrieve or deposit the perishable goods.

Abstract: Provided are systems and processes for optimizing assignments of deliveries for perishable goods. In one aspect, a method is provided for pairing a set of created orders with a set of available couriers. The set of created orders may include orders confirmed by the merchant and the set of available couriers include couriers that are online with an active status. Feasible pairings are generated between each courier and each created order. Infeasible pairings are eliminated based on factors such as transportation mode. Possible routes for each pairing are generated and scored based on weighted factors. The scores are optimized to achieve a set of routes with a maximum score. The routes are then offered to the corresponding courier if the courier will arrive at or after the created order is completed by the merchant. A neural network may be implemented to recognize the optimal score for a given duration.

Abstract: Provided are systems and processes for optimizing assignments of deliveries for perishable goods. In one aspect, a method is provided for pairing a set of created orders with a set of available couriers. The set of created orders may include orders confirmed by the merchant and the set of available couriers include couriers that are online with an active status. Feasible pairings are generated between each courier and each created order. Infeasible pairings are eliminated based on factors such as transportation mode. Possible routes for each pairing are generated and scored based on weighted factors. The scores are optimized to achieve a set of routes with a maximum score. The routes are then offered to the corresponding courier if the courier will arrive at or after the created order is completed by the merchant. A neural network may be implemented to recognize the optimal score for a given duration.

Abstract: Provided are an antibody fusion protein, a preparation method thereof and an application thereof. The antibody fusion protein is high in expression quantity, and the transient expression quantity in mammalian cells 293E is 100-150 mg/L; the antibody fusion protein is high in assembly rate, and the correct assembly rate exceeds 95%; the antibody fusion protein has a high affinity, and a single-sided antibody/fusion protein and antigen binding KD value is equivalent to a positive control monoclonal antibody/fusion protein and antigen binding KD value; the antibody fusion protein is convenient to purify, and the purity can reach more than 95% in one-step purification by using Protein A or Protein L, and the tumor inhibition rate in a pharmacodynamic experiment animal can reach up to 92%.