Abstract: A prefabricated tunnel prestressed anchor comprises an anchor rod, the anchor rod comprises a free section and a prestressed section which are arranged in sequence; the prestressed section of the anchor rod is sleeved with a steel casing, holes are formed in the steel casing, a filler material is arranged between the steel casing and the anchor rod and filled in a space between the steel casing and the anchor rod after a prestress is applied to the anchor rod on a tensioning bench, and when the filler material is electrified, the structure of the filler material is destroyed; sleeves are arranged at two ends of the steel casing, and grout plugs used for sealing the steel casing are arranged in openings of the sleeves. The prestressed anchor can be directly installed in site to be used, a prestress is applied after the structure of the filler material is destroyed.

Abstract: Provided are methods for clinical treatment of Paroxysmal Nocturnal Hemoglobinuria (PNH) comprising administering to the patient an anti-C5 antibody, or antigen binding fragment thereof, wherein the anti-C5 antibody, or antigen binding fragment thereof, is administered (or is for administration) subcutaneously according to a particular clinical dosage regimen (i.e., at a particular dose amount and according to a specific dosing schedule). In one embodiment, the patient has previously been treated with eculizumab (Soliris®).

Abstract: Provided are methods for clinical treatment of Paroxysmal Nocturnal Hemoglobinuria (PNH) and Atypical Hemolytic Uremic Syndrome (aHUS) using an anti-C5 antibody, or antigen binding fragment thereof.

Abstract: A contrastive in-context learning protocol for large language models. The protocol includes inputting positive and negative examples to a large language model. Additionally, the large language model may be instructed to analyze the reasons behind the positive examples being positive and the negative examples being negative. The large language model with such contrastive in-context learning can generate specific responses/answers based on user preferences, generally not possible using conventional models.

Abstract: Systems and methods are provided for solving mathematical word problems using large language models.

Abstract: Provided are methods for clinical treatment of Paroxysmal Nocturnal Hemoglobinuria (PNH) and Atypical Hemolytic Uremic Syndrome (aHUS) using an anti-C5 antibody, or antigen binding fragment thereof.

Abstract: This application describes systems and methods for facilitating memory access on flash drives. An example method may start with receiving a read command on a flash memory from a host specifying a logic block address (LBA). The flash memory may include a plurality of blocks grouped into a plurality of super blocks, and each of the plurality of blocks may include a plurality of pages. The method may further include determining a zone identification and an LBA offset based on the LBA; determining a flash physical address (FPA) corresponding to the LBA by accessing a mapping table stored in a random access memory (RAM) according to the zone identification and the LBA offset (e.g., the mapping table includes a plurality of FPAs arranged in a plurality of zones corresponding to the plurality of super blocks); and determining a page number and a block identification corresponding to the FPA.

Abstract: The present disclosure relates to communication methods and communications apparatus. One example method includes determining a plurality of frequency domain units on which reporting of a precoding matrix indicator (PMI) is based in reporting bandwidth. The plurality of frequency domain units include one or more first frequency domain units and third frequency domain units obtained by dividing one or more second frequency domain units. A granularity of the first frequency domain unit is less than a preconfigured first granularity, a granularity of the second frequency domain unit is a first granularity, and a granularity of the third frequency domain unit is a predetermined second granularity. The first granularity is a granularity preconfigured for reporting a channel quality indicator (CQI), a second granularity is a granularity predetermined for reporting the PMI, and the second granularity is less than the first granularity.

Abstract: A method of generating a code based on a large model, an electronic device and a storage medium are provided, which relate to the field of artificial intelligence technology, in particular to the fields of deep learning technology and large model technology. The method includes: acquiring a first descriptive text input by a user, where the first descriptive text is configured to characterize a code requirement; searching for a positive code and a negative code matching the first descriptive text, where each of the positive code and the negative code is determined based on a preference operation of the user for a historical code output by the large model; generating a second descriptive text according to the first descriptive text, the positive code, and the negative code; and inputting the second descriptive text into the large model to output a target code matching the code requirement.

Abstract: Provided are methods for clinical treatment of Paroxysmal Nocturnal Hemoglobinuria (PNH) comprising administering to the patient an anti-C5 antibody, or antigen binding fragment thereof, wherein the anti-C5 antibody, or antigen binding fragment thereof, is administered (or is for administration) subcutaneously according to a particular clinical dosage regimen (i.e., at a particular dose amount and according to a specific dosing schedule). In one embodiment, the patient has previously been treated with eculizumab (Soliris®).

Abstract: A communication method includes sending configuration information of a reference signal. The communication method also includes receiving the reference signal via M antenna ports based on the configuration information, wherein M is an integer greater than 0, the M antenna ports includes at least one first antenna port, a comb occupied by the first antenna port is based on a first offset, and the first offset is based on one or more of a time domain resource occupied by the first antenna port or a frequency domain resource occupied by the first antenna port.

Abstract: An arc additive apparatus and method, and a storage medium are disclosed. The arc additive apparatus includes: an additive welding gun, configured for melting a wire to perform additive manufacturing on a workpiece to be machined; a bypass ultrasonic device, arranged at a side of the additive welding gun; a bottom ultrasonic device, arranged below the workpiece; and a control device, configured for controlling the bypass ultrasonic device to emit ultrasonic waves below the additive welding gun so as to adjust a frequency of droplet transfer of the wire and controlling the bottom ultrasonic device to perform ultrasonic impact on the molten wire on the workpiece.

Abstract: An arc additive apparatus, a control method for an arc additive apparatus, and a storage medium are disclosed. The arc additive apparatus includes: an additive welding gun, configured to melt a wire to perform additive manufacturing on a workpiece to be machined; a mechanical vibration device, arranged below the workpiece; an ultrasonic auxiliary device, arranged at a side of the additive welding gun; and a control device, configured to control the ultrasonic auxiliary device to form an ultrasonic field below the additive welding gun, and to control, when welding at a position where additive manufacturing is to be performed by the additive welding gun, the mechanical vibration device to perform a mechanical vibration in different modes separately during and at the end of a welding process of the additive welding gun.

Abstract: This application discloses a sounding reference signal transmission method and a communication apparatus. In the method, a network device sends configuration information of one or more sounding reference signal (SRS) ports to a terminal device, where the configuration information indicates a sending occasion corresponding to the SRS port, each SRS port is in one-to-one correspondence with a receive antenna of the terminal device, and SRS transmit bandwidths corresponding to at least two of sending occasions corresponding to each SRS port are different; and the terminal device sends an SRS based on the SRS resource configuration information.

Abstract: A sending device sends, by using a first resource and a second resource, a reference signal corresponding to a first port. The first resource and the second resource are respectively on a first OFDM symbol and a second OFDM symbol that are not adjacent to each other. The first port belongs to a first port set or a second port set, a reference signal corresponding to a port in the first port set corresponds to a first cover code on the first resource and the second resource, a reference signal corresponding to a port in the second port set corresponds to a second cover code on the first resource and the second resource, and the first cover code is different from the second cover code.

Abstract: An access network device sends first indication information to a terminal device, and sends second indication information to the terminal device. When the second indication information indicates a first value, the first indication information indicates a first port index group in a plurality of port index groups included in a first set. When the second indication information indicates a second value, the first indication information indicates a second port index group in a plurality of port index groups included in a second set. The first port index group and the second port index group have an association relationship.

Abstract: The invention relates to an intelligent multi-pollutant ultra-low emission system and a global optimization method thereof. The intelligent multi-pollutant ultra-low emission system comprises a device layer, a sensing layer, a control layer and an optimization layer from bottom to top.

Abstract: A communication method and a communication apparatus. The method includes: A terminal device sends an uplink reference signal to an access network device based on a sending pattern, where an uplink reference signal resource of the uplink reference signal includes N ports, the N ports in the sending pattern are carried on two or more OFDM symbols, or the N ports in the sending pattern are carried on two or more frequency domain combs and one OFDM symbol, and N is an integer greater than 4; and the terminal device receives precoding indication information indicating precoding for transmitting uplink data, the precoding indication information is obtained by the access network device based on the uplink reference signal, and rows of a matrix corresponding to the precoding are in one-to-one correspondence with the N ports.

Abstract: According to implementations of the present disclosure, a method, apparatus, device and medium for managing molecular prediction is provided. In the method, an upstream model is obtained from a portion of network layers in a pretrained model, the pretrained model describing an association between a molecular structure and molecular energy. A downstream model is determined based on a molecular prediction purpose, and an output layer of the downstream model is determined based on the molecular prediction purpose. A molecular prediction model is generated based on the upstream model and the downstream model, the molecular prediction model describing an association between a molecular structure and a molecular prediction purpose associated with the molecular structure. Since the upstream model may have extensive knowledge related to molecules, the amount of training data required to train the molecular prediction model that is generated based on the upstream model and the downstream model may be reduced.

Abstract: A method including receiving a user input from a user device. The method also includes generating test inputs including the user input and modified inputs. The user input is processed with a rephrasing model to form the modified inputs. The method also includes executing a test model to generate test outputs, including an original test output and modified test outputs, from processing the test inputs. The method also includes generating similarity scores by performing similarity comparisons among the test outputs. The method also includes determining a model confidence from the similarity scores. The method also includes routing the user input responsive to the model confidence satisfying or failing to satisfy a confidence threshold.