Abstract: Disclosed are a process and continuous system for producing LiPF6, and a prepared mixture crystal, composition, electrolyte solution and lithium ion battery containing LiPF6. During preparation, a first feed stream containing PF5 and a second feed stream containing LiF and HF are introduced into a first microchannel reactor, a gas part of a product in the first microchannel reactor is introduced into a second microchannel reactor to react with a third feed stream containing LiPF6, LiF and HF, and a liquid part of the product in the first microchannel reactor is subjected to crystallization and drying to obtain LiPF6. The LiPF6 has the advantages of a high purity, a uniform particle size, a high product quality stability, etc., and is suitable for use as a component of an electrolyte solution of a lithium ion battery.

Abstract: A heterophasic polypropylene copolymer having an MFR2 of 0.05 to 20 g/10 min (ISO 1133 at 230° C. with a loading of 2.16 kg) and a melting point (Tm) of 156 to 164° C. (measured by DSC according to ISO 11357) wherein the heterophasic polypropylene copolymer comprises at least the following components: (A) 55.0 to 95.0 wt % of a crystalline fraction (CF) having a comonomer content of 0 to 3.0 wt %; and (B) 5.0 to 45.0 wt % of a soluble fraction (SF) having a comonomer content of 12 to 45 wt %; wherein the intrinsic viscosity (IV) (in decalin at 135° C.) of the soluble fraction (SF) is 2.5 to 11 dl/g, and wherein the amount of crystalline fraction (CF) and the amount of soluble fraction (SF) are determined in 1,2,4-trichlorobenzene at 40° C.

Abstract: The present invention relates to filtration media made from melt-blown fibers having improved barrier properties. The melt-blown fibers in the filtration media of the invention are made of a visbroken metallocene-catalyzed propylene homopolymer composition with specified melting temperature Tm and molecular weight distribution (MWD).

Abstract: A heterophasic copolymer composition obtained by a process comprising polymerising in multiple steps and multiple polymerisation reactors propylene monomer and a comonomer selected from ethylene, alpha-olefins having 4 to 10 carbon atoms and their mixtures, in the presence of an olefin polymerisation catalyst comprising a solid catalyst component and a co-catalyst, wherein the solid catalyst component comprises titanium, magnesium, halogen and an internal donor of the formula (I): wherein R1 and R2 are the same or different being a linear or branched C1-C12-alkyl group and R is hydrogen or a linear, branched or cyclic C1 to C12-alkyl.

Abstract: The present invention discloses a networked control system (NCS) time-delay compensation method based on predictive control. The method comprises the following steps: (1) acquiring random time-delay data in an NCS, and preprocessing the data; (2) predicting the current time-delay by using a fuzzy neural network (FNN) optimized by a particle swarm optimization (PSO) algorithm; (3) compensating the predicted time-delay by using an implicit proportional-integral-based generalized predictive control (PIGPC) algorithm; (4) determining whether a preset work end time is up according to a clock in the NCS; if yes, ending the process; if no, returning to step (2). The method disclosed by the present invention can accurately predict and effectively compensate the NCS time-delay and has excellent development prospect.

Abstract: A polypropylene composition (C) comprising: i) from 55.0 to 95.0 wt.-% of a heterophasic propylene copolymer (HECO), ii) from 5.0 to 45.0 wt. -% of a copolymer (CP), preferably a random copolymer, of propylene and at least one comonomer selected from the group of C4-C10 alpha-olefins that has been synthesized in the presence of a single-site catalyst, wherein the polypropylene composition (C) has a melt flow rate MFR2 of from 1.0 to 30.0 g/10 min, and wherein the polypropylene composition (C) has a Charpy Notched Impact Strength NIS of greater than or equal to 16.0 kJ/m2.

Abstract: A debug system for debugging a logic design includes an adaptor and a debug station connected to the adaptor. The logic design includes a plurality of design modules. The adaptor is configured to receive an emulation output of the logic design. The emulation output includes a design snapshot of the logic design and input signals to the logic design that both are recorded during an emulation process of the logic design. The debug station is configured to generate, based on the emulation output and a netlist of a design module of the logic design, an emulation history of the design module.

Abstract: An efficient and cost-effective method for usage of emulation machine is disclosed, in which a new concept and use model called debug station is described. The debug station methodology lets people run emulation using a machine from one vendor, and debug designs using a machine from another vendor, so long as these machines meet certain criteria. The methodology and its associated hardware hence are called a ‘platform neutral debug station.’ The debug station methodology breaks loose usage of emulation machines, where people can choose the best machine for running a design, and the best machine for debugging, and they do not need to be the same. Unlike the past, where people needed to run emulation and debug a design using same emulator from beginning to the end, the mix-and-match method described herein allows users to use emulators in the most efficient way, and often most cost effective too.

Abstract: The present invention discloses an oxime ether compound with novel structure. The structure is shown in general formula I. The definition of each substituent in the formula is provided in the description. The compound of general formula I has excellent microbicidal 1 activity, and has good control effects on plant bacterial diseases and fungal diseases. The present invention comprises an application of the compound of the general formula I as a microbicide in agriculture and other fields.

Abstract: A heterophasic propylene ethylene copolymer composition having an MFR2 in the range from 1.0 to 55.0 g/10 min and a melting temperature in the range from 155 to 162° C., comprising: i) from 60 to 88 wt.-% of a xylene cold insoluble fraction (XCI) having an intrinsic viscosity iV(XCI) in the range from 1.40 to 2.50 dl/g, an isotactic pentad concentration [mmmm] of more than 97.0% and a content of 2,1-regiodefects in the range from 0.1 to 0.4 mol %, ii) from 12 to 40 wt.-% of a xylene cold soluble fraction (XCS) having an intrinsic viscosity iV(XCS) in the range from 1.80 to 3.20 dl/g and an ethylene content C2(XCS) in the range from 25 to 80 wt.-%, wherein the ratio of the intrinsic viscosities of the two fractions, iV(XCS)/iV(XCI), is in the range from 1.0 to 2.0.

Abstract: A technical solution relates to a big data technology in the field of artificial intelligence technologies. The technical solution includes: acquiring training data including annotation results of a risk grade of each sample region and a risk grade of a district to which each sample region belongs; and training an initial model including an encoder, a discriminator and a classifier using the training data, and obtaining the risk prediction model using the encoder and the classifier after the training process. The encoder performs a coding operation using region features of the sample regions to obtains a feature representation of each sample region; the discriminator identifies the risk grade of the district to which the sample region belongs according to the feature representation of the sample region; the classifier identifies the risk grade of the sample region according to the feature representation of the sample region.

Abstract: The present invention relates to heterophasic polypropylene compositions comprising a propylene homo- or copolymer forming a crystalline fraction as a matrix and an amorphous propylene ethylene elastomer as a soluble fraction dispersed in said matrix. The heterophasic polypropylene compositions further comprise an elastomeric ethylene/alpha-olefin random copolymer. The heterophasic polypropylene compositions have a well-balanced relation between stiffness and impact strength, low volatile and semi-volatile emissions and good processability.

Abstract: The present disclosure discloses an information processing method and device, and relates to the field of artificial intelligence, in particular, to a graph neural network in the field of deep learning. A specific implementation solution according to an embodiment includes determining initial representation of edges connected between a plurality of atoms in a molecule based on three-dimensional structure information of the molecule; determining first representation of a neighbor edge of each of the atoms based on the initial representation of the edges, the neighbor edge of each of the atoms indicating at least one edge connected with each of the atoms; determining first representation of each of the atoms based on the first representation of the neighbor edge of each of the atoms; determining feature representation for characterizing the molecule based on the first representation of each of the atoms.

Abstract: A flame-retardant antimicrobial agent is a polymer microsphere with the surface grafted thereof with a guanidine salt. The polymer microsphere has a cross-linked structure composed of a structural unit A derived from maleic anhydride, a structural unit B derived from a monomer M, and a structural unit C derived from a cross-linking agent. The monomer M is selected from a C4-C9 aliphatic olefin or a mixture thereof, and the guanidine salt comprises at least one guanidine salt having the property of flame resistance. The flame-retardant antimicrobial agent has both a good antimicrobial effect and a good flame-retardant effect. A flame-retardant antimicrobial thermoplastic resin composition containing the flame-retardant antimicrobial agent also has a good flame-retardant and antimicrobial performance and a good overall performance.

Abstract: Embodiments of the present disclosure provide a method and apparatus for generating information. A method may include: determining, according to received positioning request information, visiting information for a target area of interest, the visiting information including location information of at least one visiting point; determining, according to the location information of the at least one visiting point, a visiting point distribution map including the at least one visiting point; performing grid division on the visiting point distribution map, to obtain a first grid map including at least one grid; and generating, based on the first grid map, outline information for the target area of interest.

Abstract: A method for multi-task scheduling, a device and a storage medium are provided. The method may include: initializing a list of candidate scheduling schemes, the candidate scheduling scheme being used to allocate a terminal device for training to each machine learning task in a plurality of machine learning tasks; perturbing, for each candidate scheduling scheme in the list of candidate scheduling schemes, the candidate scheduling scheme to generate a new scheduling scheme; determining whether to replace the candidate scheduling scheme with the new scheduling scheme based on a fitness value of the candidate scheduling scheme and a fitness value of the new scheduling scheme, to generate a new scheduling scheme list; and determining a target scheduling scheme, based on the fitness value of each new scheduling scheme in the new scheduling scheme list.

Abstract: The present disclosure provides a method and apparatus for federated learning, which relate to the technical fields such as big data and deep learning. A specific implementation is: generating, for each task in a plurality of different tasks trained simultaneously, a global model for each task; receiving resource information of each available terminal in a current available terminal set; selecting a target terminal corresponding to each task from the current available terminal set, based on the resource information and the global model; and training the global model using the target terminal until a trained global model for each task meets a preset condition.

Abstract: The present invention provides a method for detecting Brucella infection, i.e., a serum and blood cell synchronous detection method. The detection method comprises two operation steps of serum sample detection and living blood cell sample detection and uses a supporting kit. The kit can be used for pretreatment of blood samples for clinically detecting Brucella in vitro. The serum and blood cell synchronous detection method can be used for early clinical rapid diagnosis of Brucella infection and medication guidance in the treatment process, and can also be used for prognosis, epidemiological survey of brucellosis, etc. The present invention can also be used for early clinical rapid diagnosis of other intracellular parasitic infection.