Abstract: A method, an apparatus and a medium for optimizing allocation of switching resources in the polymorphic network. The method selects the ASIC switching chip, FPGA and PPK software switching on the polymorphic network element based on machine learning, and specifically comprises the following steps: manually pre-configuring, formulating basic rules for polymorphic software and hardware co-processing; offline learning, designing training configuration in the offline learning stage to capture different switching resource usage variables, running experiments to generate the original data of a training classifier, and using the generated performance indices to train the model offline; and online reasoning, obtaining switching resource allocation advises, and updating modality codes according to the switching resource allocation advises.

Abstract: Provided is an electric cable driving mechanism having a self-return function. The electric cable driving mechanism includes a housing assembly, an electric motor, a three-stage transmission mechanism and a multifunctional nut, the three-stage transmission mechanism includes a coil spring assembly, the electric motor is fixed to the housing assembly, and the three-stage transmission mechanism and the multifunctional nut are mounted in the housing assembly; and the multifunctional nut includes two cable mounting grooves and is in transmission connection to the electric motor by means of the three-stage transmission mechanism. According to the electric cable driving mechanism having a self-return function of the present disclosure, the three-stage transmission mechanism is used, and outputs a larger force compared with two-stage transmission; and a split multifunctional screw rod is easy to mount, such that mounting of a coil spring during assembly is prevented from scratching the screw rod.

Abstract: Provided is an oligonucleotide primer with an acyclic nucleoside structure for initial capping, which has a molecular structural formula of m7UNGpppA2?omepG, and has higher mRNA in vitro transcription efficiency, higher capping efficiency, lower immunogenicity and higher protein translation efficiency.

Abstract: The present invention provides a joint optimization method and system for delay and spectrum occupation in a cloud-edge collaborative network. The method includes: initializing a cloud-edge collaborative network, and generating a set of user requests; establishing a target function of minimum average end-to-end delay and minimum spectrum slot occupation of a user request; during processing of each user request based on the target function, sequentially determining whether a node and path selection uniqueness constraint, a mobile edge computing (MEC) server load constraint, a spectrum resource occupation and uniqueness constraint, a spectrum continuity constraint, and a spectrum consistency constraint are satisfied, where if all constraints are satisfied, the user request is successfully processed, and the process turns to step S4; or if any constraint is not satisfied, the user request fails to be processed; and calculating average end-to-end delay and spectrum resource occupancy of the user request.

Abstract: A method and a system for calculating tumor neoantigen burden (TNB) are provided. The method includes: step S1: processing a normal sample and a tumor sample, sequencing a specific region and detecting somatic mutations in the sample; step S2: annotating and filtering the somatic mutations, and translating to obtain mutant peptide sequences of a patient; step S3: filtering the mutant peptide sequences to obtain neopeptide sequences based on a proteome of the normal sample; step S4, performing a human leukocyte antigen (HLA) typing analysis based on alignment data of the normal sample to obtain HLA genotypes of the sample; step S5, predicting binding affinities between the neopeptide sequences and the HLA genotypes to obtain specific neoantigens of the sample, and performing a weighted scoring on each of the specific neoantigens and calculating the TNB of the sample.

Abstract: The present invention discloses a extra thick hot rolled H section steel and a production method therefor. The extra thick hot rolled H section steel contains, by mass, the following chemical components: 0.04-0.11% of C, 0.10-0.40% of Si, 0.40-1.00% of Mn, 0.40-1.00% of Cr, 0.10-0.40% of Cu, 0.020-0.060% of Nb, 0.040-0.100% of V, 0.010-0.025% of Ti, 0.010-0.030% of Al, 0.0060-0.0120% of N, not more than 0.015% of P, not more than 0.005% of S, not more than 0.0060% of O, and the balance Fe and trace residual elements, wherein 0.090%?Nb+V+Ti?0.170%, 6.5?(V+Ti)/N?10.5, and 0.30%?CEV?0.48%. The extra thick hot rolled H section steel has a flange thickness of 90 mm-150 mm, has excellent comprehensive mechanical properties, and can well meet the needs for heavy supporting structural parts of high-rise buildings, large squares, bridge structures, etc.

Abstract: Implementations of the present specification provide a method and an apparatus for managing a TLB cache in a virtualization platform, where the virtualization platform runs a plurality of virtual machines, each virtual machine is allocated with a unique VPID, and all virtual logical processors in the virtual machine share the VPID; and a guest process running in the virtual machine is allocated with a PCID. An identifier field of a TLB entry in the TLB cache includes a VPID and a PCID.

Abstract: A compound dispersant which is composed of distilled water, a nonionic surfactant, an anionic surfactant and a wetting agent. The nonionic surfactant is a Tween compound, and the anionic surfactant is hydrocarbyl sulfate salts. The compound dispersant can block or slow down agglomeration of graphene in a dispersion solution. Also disclosed are a preparation method of the compound dispersant, which is simple to operate, a mixed electroplating solution containing the compound dispersant, in which the graphene is dispersed uniformly and stably, and a preparation method of the mixed electroplating solution, in which graphene is distributed uniformly and stably.

Abstract: A compound dispersant which is composed of distilled water, a nonionic surfactant, an anionic surfactant and a wetting agent. The nonionic surfactant is a Tween compound, the anionic surfactant is a hydrocarbyl sulfonate salt compound, and the wetting agent is an amide compound. The compound dispersant can block or slow down agglomeration of graphene in a dispersion solution. In addition, disclosed are a preparation method of the compound dispersant, which is used for preparing the compound dispersant and is simple to operate, a mixed electroplating solution containing the compound dispersant, in which the graphene is dispersed uniformly and stably, and a preparation method of the mixed electroplating solution, in which graphene is distributed uniformly and stably.

Abstract: A compound dispersant which is composed of distilled water, a nonionic surfactant, an anionic surfactant and a wetting agent, wherein the nonionic surfactant is a Tween compound, and the wetting agent includes a hydrocarbyl sulfate salt compound and a hydrocarbyl sulfonate salt compound. The compound dispersant can block or slow down agglomeration of graphene in a dispersion solution. Also disclosed are preparation method of the compound dispersant, which is simple to operate and produces a compound dispersant that can effectively block or slow down the agglomeration of graphene in the dispersion solution, a mixed electroplating solution including the compound dispersant, in which the graphene is dispersed uniformly and stably, and a preparation method of the mixed electroplating solution, which is simple to operate, wherein graphene is distributed uniformly and stably.

Abstract: Implementations of the present specification provide a method and an apparatus for managing a TLB cache in a virtualization platform, where the virtualization platform runs a plurality of virtual machines, each virtual machine is allocated with a unique VPID, and all virtual logical processors in the virtual machine share the VPID; and a guest process running in the virtual machine is allocated with a PCID. An identifier field of a TLB entry in the TLB cache includes a VPID and a PCID.

Abstract: The present invention discloses a polyphosphate kinase mutant, engineered strain and application thereof, wherein the polyphosphate kinase mutant is obtained by single- or multi-site mutations of the amino acid at position 79, 106, 108, 111 or 285 of the amino acid sequence shown in SEQ ID No. 2. The present invention provides a variety of polyphosphate kinase mutants derived from Cytophaga hutchinsonii, and the specific enzyme activity of these mutants is 2.7-17.9 times higher than that of the parent polyphosphate kinase, more than 70% of the amount of adenosine triphosphate (ATP) consumption in ATP-dependent biocatalytic synthesis reactions may be reduced by the ATP regeneration system constituted by the mutants, which has broad industrial application prospects.

Abstract: The present disclosure provides a fixed cylinder centrifuge, including a base, a driving device, a screw propeller, a liquid inlet pipe, and a fixed cylinder. The fixed cylinder includes a straight cylinder and a conical cylinder. The straight cylinder and the conical cylinder are communicated with each other and are connected to each other through a first flange. Sand discharging holes are formed in the tail end of the conical cylinder. The screw propeller is rotatabh arranged in the straight cylinder and the conical cylinder and includes a central pipe and a blade. The blade is spirally welded on a pipe wall of the central pipe in an axial direction. A tiny spacing is reserved between the tail end of the blade and the inner wall of the straight cylinder and between the tail end of the blade and the inner wall of the conical cylinder.

Abstract: Provided are compounds of formula (I), which have KRAS mutation tumor regulating activity. Also provided are a method for providing these compounds and a pharmaceutical composition comprising the same.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for pricing a callable instrument. A plurality of corresponding pairs of Brownian motion paths and index value paths are determined corresponding to a set of dates. A deep neural network (DNN) of a backward DNN solver is trained until a convergence requirement is satisfied by for each pair of corresponding Brownian motion path and index value path, using the backward DNN solver to determine by iterating in reverse time order from a final discounted option payoff to an initial value. A statistical measure of spread of a set of initial values is determined and parameters of the DNN are modified based on the statistical measures of spread. Pricing information is determined by the backward DNN solver and provided such that a representation thereof is provided via an interactive user interface of a user computing device.

Abstract: Disclosed is a method for preparing a borate ester on the basis of a tricyclopentadienyl rare earth metal complex, the method comprising the following steps: uniformly stirring and mixing a catalyst, a borane and a carbonyl compound for reaction to prepare a borate ester, wherein the catalyst is a tricyclopentadienyl rare earth metal complex; and the molecular formula of the tricyclopentadienyl rare earth metal complex can be expressed as: Ln(Cp)3, wherein Ln represents a rare metal selected from one of lanthanide elements. The preparation method has a higher catalytic activity, mild reaction conditions, a product that is easy to post-treat, a short reaction time, a low catalyst consumption amount, and a good range of applicable substrates, and can be used for industrial production.

Abstract: The present disclosure discloses a distributed energy system, an energy intelligent terminal, and a control method thereof. The energy intelligent terminal determined as the master node controls each energy intelligent terminal in the distributed energy system to set calculation for operation mode in an enabled state when target power changes or a new duty cycle is started at the end of current duty cycle, so as to make each energy intelligent terminal determine an operation mode for the next duty cycle form a corresponding set of alternative operation modes. The operation mode of the distributed energy system can be regulated in real time. The regulating method is simple and improves the efficient and stability of the distributed energy system. Moreover, the distributed energy system according to the embodiments of the present disclosure has ad hoc network capability with the characteristics of fast deployment and plug and play terminals.

Abstract: A distributed energy system, an energy intelligent terminal, and a control method thereof are disclosed. It determines an error between the sum of initial random external input power that can be assumed by each of all the energy intelligent terminals and target power, updates the alternative operation mode for each energy intelligent terminal in an iterative manner when the error satisfies an iteration start condition until an iteration exit condition being satisfied, and determines the alternative operation mode for each energy intelligent terminal in the final iteration period as the operation mode for next duty cycle so as to regulate operation mode of the distributed energy system in real time according to the target power and energy consumption power of load to which each energy intelligent terminal corresponds. The distributed energy system has ad hoc network capability with the characteristics of fast deployment and plug and play terminals.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for pricing a callable instrument. A plurality of corresponding pairs of Brownian motion paths and index value paths are determined corresponding to a set of dates. A deep neural network (DNN) of a backward DNN solver is trained until a convergence requirement is satisfied by for each pair of corresponding Brownian motion path and index value path, using the backward DNN solver to determine by iterating in reverse time order from a final discounted option payoff to an initial value. A statistical measure of spread of a set of initial values is determined and parameters of the DNN are modified based on the statistical measures of spread. Pricing information is determined by the backward DNN solver and provided such that a representation thereof is provided via an interactive user interface of a user computing device.