Abstract: The present invention relates to a nucleic acid molecule capable of blocking motor protein, a library containing the nucleic acid molecule, a method for constructing the nucleic acid molecule or library containing the same, and an application of the nucleic acid molecule or library containing same.

Abstract: An access system for an Internet of Things terminal includes a core network gateway device and an IoT cloud platform, which communicate with each other through a first VPN. The core network gateway device is configured for allocating a first IP address to an IoT terminal, establishing an IoT terminal address pool according to the first IP address, and sending the IoT terminal address pool to the IoT cloud platform. Further, the IoT cloud platform is configured for receiving and storing the IoT terminal address pool, when a first message of a downlink instruction is received, obtaining the first IP address according to the first message and the IoT terminal address pool, and packaging the first message and the first IP address into a second message to be sent to the core network gateway device.

Abstract: The disclosed method and system provide an unsupervised machine learning model, specifically an isolation forest model, to identify potential fraudulent activity in policies communicated within a distributed computing system. This model is trained and fine-tuned using tabular data, including social graph connectivity features, with a training dataset containing unlabelled data and a tuning dataset comprising labelled instances of fraudulent activity. Through iterative tuning, the model adjusts its features (e.g. model splitting thresholds) to optimize detection accuracy, ensuring that anomalies predicted by the model align with labelled fraudulent policies in the tuning dataset. Subsequently, computerized actions are triggered based on the model's predictions to manage displaying, routing and processing the policy to one or more other computing devices for action based on the prediction within the distributed computing system.

Abstract: An anode material includes a core-shell structured composite material. The core-shell structured composite material includes a core material, an inner shell material, and an outer shell material. The core material includes graphite particles. The inner shell material includes a continuous phase and a dispersing phase. The dispersing phase includes nano silicon particles, the continuous phase includes carbon, and the outer shell material includes lithium metal. A chemical formula of the nano silicon-based particles is SiOx, 0<x<2.

Abstract: A ternary cathode material, a preparation method thereof, and a lithium ion battery are provided. The ternary cathode material comprises a micron-sized single-crystalline particle structure of LiNi1-x-y-zCoxMnyMzO2, wherein 0.6<1-x-y-z<1.0, 0<x<0.2, 0<y<0.3, and 0<z<0.1; and the single-crystalline particle structure comprises a central area and surface layer area, wherein the molar ratio of elements in the central area meets Ni:Co:Mn:M=a1:x1:y1:z1, and the molar ratio of elements in the surface layer area meets Ni:Co:Mn:M=a2:x2:y2:z2, in which 0.85?a1<1.0, 0<x1?0.1, 0<y1?0.15, 0?z1?0.05, 0.3?a2?0.7, 0.2?x2, y2?0.4, and 0?z2?0.05, provided that z1 and z2 are not simultaneously zero, and a1/(a1+x1+y1+z1)>a2/(a2+x2+y2+z2); and M comprises at least one selected from Al, Mg, Ti, Ga, Nb, Zr, W, Mo and Ta.

Abstract: An online system trains a transformer architecture by an initialization method which allows the transformer architecture to be trained without normalization layers of learning rate warmup, resulting in significant improvements in computational efficiency for transformer architectures. Specifically, an attention block included in an encoder or a decoder of the transformer architecture generates the set of attention representations by applying a key matrix to the input key, a query matrix to the input query, a value matrix to the input value to generate an output, and applying an output matrix to the output to generate the set of attention representations. The initialization method may be performed by scaling the parameters of the value matrix and the output matrix with a factor that is inverse to a number of the set of encoders or a number of the set of decoders.

Abstract: An online system trains a transformer architecture by an initialization method which allows the transformer architecture to be trained without normalization layers of learning rate warmup, resulting in significant improvements in computational efficiency for transformer architectures. Specifically, an attention block included in an encoder or a decoder of the transformer architecture generates the set of attention representations by applying a key matrix to the input key, a query matrix to the input query, a value matrix to the input value to generate an output, and applying an output matrix to the output to generate the set of attention representations. The initialization method may be performed by scaling the parameters of the value matrix and the output matrix with a factor that is inverse to a number of the set of encoders or a number of the set of decoders.

Abstract: An autoencoder model includes an encoder portion and a decoder portion. The encoder encodes an input token sequence to an input sequence representation that is decoded by the decoder to generate an output token sequence. The autoencoder model may decode multiple output tokens in parallel, such that the decoder may be applied iteratively. The decoder may receive an output estimate from a prior iteration to predict output tokens. To improve positional representation and reduce positional errors and repetitive tokens, the autoencoder may include a trained layer for combining token embeddings with positional encodings. In addition, the model may be trained with a corrective loss based on output predictions when the model receives a masked input as the output estimate.

Abstract: A computing device configured to communicate with a central server in order to predict likelihood of fraud in current transactions for a target claim. The computing device then extracts from information stored in the central server (relating to the target claim and past transactions for past claims including those marked as fraud), a plurality of distinct sets of features: text-based features derived from the descriptions of communications between the requesting device and the endpoint device, graph-based features derived from information relating to a network of claims and policies connected through shared information, and tabular features derived from the details related to claim information and exposure details. The features are input into a machine learning model for generating a likelihood of fraud in the current transactions and triggering an action based on the likelihood of fraud (e.g. stopping subsequent related transactions to the target claim).

Abstract: A method for preparing an amplicon library for detecting the variation in a region to be tested of a target gene of a sample, including the following steps: 1) designing and synthesizing a forward outer primer F1, a forward inner primer F2, and a reverse primer R according to the target region; 2) carrying out a one-step PCR amplification on the sample to be tested using the forward outer primer F1, the forward inner primer F2, and the reverse inner primer R to obtain an amplified product, i.e., the amplicon library of the target region. This one-step library preparation technology can be applied to all second-generation platforms including IonTorrent, illumina and BGI/MGI platforms. Based on the library preparation method, the present invention has developed detection products for SNP, Ins/Del, CNV and methylation of DNA, as well as detection products for s gene fusion and expression of RNA samples.

Abstract: A ternary cathode material, a preparation method thereof, and a lithium ion battery are provided. The ternary cathode material comprises a micron-sized single-crystalline particle structure of LiNi1-x-y-zCoxMnyMzO2, wherein 0.6<1-x-y-z<1.0, 0<x<0.2, 0<y<0.3, and 0<z<0.1; and the single-crystalline particle structure comprises a central area and surface layer area, wherein the molar ratio of elements in the central area meets Ni:Co:Mn:M=a1:x1:y1:z1, and the molar ratio of elements in the surface layer area meets Ni:Co:Mn:M=a2:x2:y2:z2, in which 0.85?a1<1.0, 0<x1?0.1, 0<y1?0.15, 0?z1?0.05, 0.3?a2?0.7, 0.2?x2, y2?0.4, and 0?z2?0.05, provided that z1 and z2 are not simultaneously zero, and a1/(a1+x1+y1+z1)>a2/(a2+x2+y2+z2); and M comprises at least one selected from Al, Mg, Ti, Ga, Nb, Zr, W, Mo and Ta.

Abstract: The present invention discloses a method for rapidly constructing amplicon library including the following steps: 1. Synthesizing a primer combination for constructing an amplicon library of a DNA sample, the primer combination of the amplicon library used to construct the DNA sample includes: a forward fusion primer designed according to the target amplicon, a reverse fusion primer designed according to the target amplicon, a forward universal primer and a reverse universal primer; 2. Constructing a PCR reaction system for the DNA sample; 3. Performing PCR. The method according to the present invention can be used to construct an amplicon library in a simple and rapid manner, and since a barcode is introduced before the start of PCR, the possibility of cross-contamination between the sample and the library is greatly reduced.

Abstract: An anode material includes a core-shell structured composite material. The core-shell structured composite material includes a core material, an inner shell material, and an outer shell material. The core material includes graphite particles. The inner shell material includes a continuous phase and a dispersing phase. The dispersing phase includes nano silicon particles, the continuous phase includes carbon, and the outer shell material includes lithium metal. A chemical formula of the nano silicon-based particles is SiOx, 0<x<2.

Abstract: An online system trains a transformer architecture by an initialization method which allows the transformer architecture to be trained without normalization layers of learning rate warmup, resulting in significant improvements in computational efficiency for transformer architectures. Specifically, an attention block included in an encoder or a decoder of the transformer architecture generates the set of attention representations by applying a key matrix to the input key, a query matrix to the input query, a value matrix to the input value to generate an output, and applying an output matrix to the output to generate the set of attention representations. The initialization method may be performed by scaling the parameters of the value matrix and the output matrix with a factor that is inverse to a number of the set of encoders or a number of the set of decoders.

Abstract: The invention discloses a method for preparing an amplicon library for detecting a low-frequency mutation of a target gene. The invention provides a method for preparing an amplicon library for detecting a low-frequency mutation of a target gene, comprising the following steps: 1) design and synthesize a Barcode primer F1, an forward primer F2, a reverse outer primer R1, and a reverse inner primer R2; 2) perform a one-step PCR amplification on the cfDNA of the sample to be tested using the Barcode primer F1, the forward primer F2, the reverse outer primer R1, and the reverse inner primer R2 to obtain an amplified product, which is a DNA library for an amplicon sequencing. In addition to detect tissue samples, the method can also quickly, easily, sensitively and specifically amplify different target regions of cell free DNA from samples such as blood, urine, and CSF, and efficiently detect mutations as low as 0.1%.

Abstract: The present disclosure discloses a moving-track sharing method and apparatus, and a storage medium. The method includes: receiving, by an instant messaging client, a track-sharing instruction, wherein the track-sharing instruction is used to instruct the instant messaging client to share a real-time moving-track of a first terminal in a moving event, and the instant messaging client is located on the first terminal; generating, by the instant messaging client, a first track-sharing event in response to the track-sharing instruction; and sending, by the instant messaging client, the first track-sharing event to a server, wherein the first track-sharing event is used to instruct the server to share a real-time moving-track of the first terminal in a manner specified by the track-sharing instruction.

Abstract: A method, a device, and a system for processing information of a vehicle are disclosed. In the embodiments, information about a connected vehicle is acquired, and a display image of a virtual vehicle is generated; driving information of the connected vehicle is acquired; whether the vehicle is currently in a driving state is determined according to the driving information; and when the connected vehicle is in the driving state, an orientation of a head of the virtual vehicle is adjusted to keep consistency with an orientation of a head of the connected vehicle; and when the connected vehicle is in a non-driving state, an orientation of a head of the virtual vehicle is adjusted towards a location of the connected vehicle.

Abstract: The present invention discloses a method for rapidly constructing amplicon library including the following steps: 1. Synthesizing a primer combination for constructing an amplicon library of a DNA sample, the primer combination of the amplicon library used to construct the DNA sample includes: an upstream fusion primer designed according to the target amplicon, a downstream fusion primer designed according to the target amplicon, an upstream universal primer and a downstream universal primer; 2. Constructing a PCR reaction system for the DNA sample; 3. Performing PCR. The method according to the present invention can be used to construct an amplicon library in a simple and rapid manner, and since a barcode is introduced before the start of PCR, the possibility of cross-contamination between the sample and the library is greatly reduced.

Abstract: The present disclosure discloses a moving-track sharing method and apparatus, and a storage medium. The method includes: receiving, by an instant messaging client, a track-sharing instruction, wherein the track-sharing instruction is used to instruct the instant messaging client to share a real-time moving-track of a first terminal in a moving event, and the instant messaging client is located on the first terminal; generating, by the instant messaging client, a first track-sharing event in response to the track-sharing instruction; and sending, by the instant messaging client, the first track-sharing event to a server, wherein the first track-sharing event is used to instruct the server to share a real-time moving-track of the first terminal in a manner specified by the track-sharing instruction.

Abstract: Provided is a backflow cascade novel process for producing a lithium-7 isotope. The process comprises an upper backflow section, an extraction section, an enrichment section, a lower backflow section, and a product acquiring section. Upper backflow phase-conversion liquid and lower backflow phase-conversion liquid are respectively added to the upper backflow section and the lower backflow section, and upper backflow phase-conversion liquid and lower backflow phase-conversion liquid of the lithium material are controlled; the product is precisely acquired in the product acquiring section; an organic phase is added to the upper backflow section, and is recycled in the lower backflow section. By means of cascade connection with a high-performance liquid separator, environmental protection, high efficiency, and multi-level enrichment of the lithium-7 isotope are achieved, and a high-abundance lithium-7 isotope product is obtained.