Abstract: The present disclosure relates to a conversation information processing method, an electronic device and a storage medium. The method includes: determining whether a target conversation is over; inputting, in response to the target conversation being over, first prompt information and the target conversation into a conversation summarization model to obtain a plurality of candidate summary results, where the first prompt information includes a conversation summary outline; and determining a target summary result based on the plurality of candidate summary results and the target conversation.

Abstract: Provided is a Z-shaped steel wire sealed load-bearing detection cable including a cable core and armor steel wire layers armored outside the cable core. The armor steel wire layers include an inner layer and an outer layer. The inner layer is formed by armoring circular inner-layer armor steel wires or Z-shaped inner-layer armor steel wires, and the outer layer is formed by armoring Z-shaped outer-layer armor steel wires. The circular inner-layer armor steel wires or the Z-shaped inner-layer armor steel wires are armored outside the cable core, and the Z-shaped outer-layer armor steel wires are armored outside the circular inner-layer armor steel wires or the Z-shaped inner-layer armor steel wires.

Abstract: Aspects of the present disclosure relate to automatically detecting and classifying anomalies using machine learning models. Embodiments include identifying, from a plurality of entities, one or more particular entities of interest based on instructions provided to a machine learning model along with features of the plurality of entities, wherein the one or more particular entities of interest does not include at least one entity in the plurality of entities. Embodiments include assigning each particular entity of interest to one or more groups based on a set of attributes associated with the particular entity. Embodiments include analyzing the one or more groups based on one or more characteristics extracted from each group of the one or more groups. Embodiments include generating an action probability score for each group based on the analyzing. Embodiments include providing an output based on the action probability score and performing an action based on the output.

Abstract: Disclosed in the present invention is a method for surface modification of a lithium transition metal oxide positive electrode material, including: adding a first additive, a second additive, and a lithium transition metal oxide to water to obtain a first slurry, the first additive being a lithium-containing phosphate, and the second additive being an acidic solution of a Y3+ or Al3+ salt; dropwise adding a third additive to the first slurry to obtain a second slurry, the third additive being an acidic solution of a TiO2+ or ZrO2+ salt; dropwise adding a fourth additive to the second slurry to obtain a third slurry, the fourth additive being an acidic solution of a AlO2? salt; and performing centrifugation and drying on the third slurry to obtain an intermediate product, mixing the intermediate product with a large-particle positive electrode material, and performing sintering to obtain a surface-modified lithium transition metal oxide material.

Abstract: The present disclosure discloses a preparation method of platy aluminum-doped cobalt carbonate and use thereof. The preparation method includes the following steps: S1: mixing a cobalt salt, an aluminum salt, and a polyhydroxy compound to prepare a mixed solution; S2: mixing the mixed solution with an ammonium bicarbonate solution, adjusting a pH, and heating and stirring to allow a reaction to obtain a seed crystal solution; and S3: adding the mixed solution and an ammonium bicarbonate solution to the seed crystal solution, adjusting a pH, and heating and stirring to allow a reaction, during which a solid content in a slurry is controlled at 20% to 40% until a particle size in the slurry grows to a target value; and separating out, washing, and drying a solid phase to obtain the platy aluminum-doped cobalt carbonate.

Abstract: The application discloses a power supply device and an overcurrent alarm method. The power supply device provides power to a load system and includes: a current sampling module for obtaining a current sampling value; a first comparison module for comparing the current sampling value with an alarm current reference value to obtain a first output value; and a control module for determining whether to send a current alarm signal to the load system based on the first output value, wherein when the current sampling value is greater than or equal to the alarm current reference value, the control module sends the current alarm signal and provides a warning notification to the load system; when the current sampling value is less than the alarm current reference value, the control module does not send the current alarm signal, or the control module sends a current non-alarm signal.

Abstract: Disclosed is a method for estimating ultrasound attenuation coefficient by use of aberration compensation and the reference phantom method. Measurements on a human sample at a single transmit frequency and on multiple reference phantoms at a plurality of transmit frequencies are performed respectively. The center frequencies of the echo signals at the depth of the top edge of the region of interest are calculated. A specific reference phantom at a specific transmit frequency is selected by the echo signals whose center frequencies are closest to the center frequencies of the echo signals from the human sample at the aforementioned depth to compensate for the aberration. Then the spectra of the echo signals from the selected reference phantom at the selected transmit frequency and the spectra from the echo signals from the human sample are used to estimate the attenuation coefficient of the human sample by following the reference phantom method.

Abstract: Provided are a large language model (LLM) training method and apparatus, a device, and a storage medium. The method includes: acquiring a corpus data training set to be trained, and selecting corpus data from the corpus data training set; predicting the corpus data by using an LLM, obtaining a prediction result, calculating a current loss value based on the prediction result, saving the current loss value, and calculating a current preset loss value based on the saved current loss value; and determining whether the current loss value is less than the current preset loss value; if yes, skipping updating model parameters of the LLM; if not, updating the model parameters of the LLM and the current preset loss value based on the current loss value, re-selecting corpus data from the corpus data training set, and continuing to update the model parameters of the LLM until a trained LLM is obtained.

Abstract: The present disclosure provides techniques for automated relationship discovery. One example method includes receiving input data indicative of a plurality of heterogeneous data entries, wherein the plurality of heterogeneous data entries indicate a type of subjects, generating, for each heterogeneous data entry in the plurality of heterogeneous data entries, an individual graph, wherein nodes of the plurality of individual graphs represent the type of subjects, and wherein the nodes indicate a plurality of attributes, generating a unified graph based on the plurality of individual graphs, receiving an indication associated with a particular node in the unified graph, identifying a set of neighboring nodes associated with particular node, determining an action to be applied to the particular node, and applying the action to each node in the set of neighboring nodes.

Abstract: A use of a soybean C2H2 type zinc finger protein transcription factor GmZFP7 with the amino acid sequence as shown in SEQ ID NO: 2, or a gene GmZFP7 with a gene accession number of Gene ID: 100792169 in regulating isoflavones is provided. Also provided is a method for regulating isoflavones, which increases or reduces a total isoflavone content in a plant by way of overexpression, silencing, knockdown or knockout of the transcription factor gene GmZFP7.

Abstract: A method for repairing a virtual machine in a cloud environment is provided. A server device receives a first request that is transmitted by a console, the first request includes a virtual machine identifier of a target virtual machine and requests a repair of the target virtual machine. An image database is queried for a target image identifier of a pre-made Live CD image corresponding to the virtual machine identifier. A target cloud block storage is created for storing the Live CD image. The target cloud block storage is mounted to a host machine that hosts the target virtual machine to cause the host machine to download the Live CD image from an image repository to store to the target cloud block storage, mount the target cloud block storage to the target virtual machine, and boot the target virtual machine via the target cloud block storage.

Abstract: Provided herein are methods for determining whether a disorder is susceptible to treatment with a plasma kallikrein inhibitor and methods for identifying a subject as a candidate for treatment with a plasma kallikrein inhibitor. Provided herein are methods of identifying a subject as having or being at risk for a disorder and methods of treating a disorder in a subject. Also provided herein are methods of evaluating effectiveness of a treatment in a subject.

Abstract: A system, device, system-on-a-chip, and method of automatically correcting an object not found error using image recognition are described. The method includes running a test script for testing and analysis of a web page as rendered by a web browser. The method further includes, responsive to detecting the object not found error, automatically locating a missing object associated with the object not found error. One method of locating a missing object includes using image recognition. The method also includes updating the test script with a located object. The method may also include replaying the test script.

Abstract: A sorting vehicle is provided that includes a wire harness structure and at least two vehicle bodies. The at least two vehicle bodies are pivotally connected to one another in sequence, the wire harness structure is connected to the two adjacent vehicle bodies, and the wire harness structure includes an elastic deformation portion located at a junction of the two adjacent vehicle bodies.

Abstract: A portable temperature-regulating device wearable as a backpack or chest-mounted unit comprises a bag body and at least two shoulder straps connected to an upper portion of the bag body for securing the device to a user's shoulders or chest. The bag body defines an air inlet and a main cavity air duct along which a fan mounting portion and a temperature-regulating element mounting portion are disposed. When a fan and a temperature-regulating element are installed, airflow entering the main cavity air duct through the air inlet is conditioned to form a temperature-regulated airflow. Each shoulder strap includes a branch cavity air duct having at least one air outlet hole, the branch cavity air duct being in fluid communication with the main cavity air duct such that the temperature-regulated airflow enters the branch cavity air duct and is discharged from the air outlet hole toward temperature-sensitive areas of the user.

Abstract: The photovoltaic cell includes a silicon substrate, a first passivation layer, a second passivation layer, at least one silicon oxynitride layer, and at least one silicon nitride layer. The second passivation layer includes a first silicon oxide layer and at least one aluminum oxide layer, and a thickness of the at least one aluminum oxide layer is in a range of 4 nm to 20 nm. The number of silicon atoms is greater than the number of oxygen atoms in the at least one silicon oxynitride layer and the number of oxygen atoms is greater than the number of nitrogen atoms in the at least one silicon oxynitride layer. The first silicon oxide layer is disposed between the substrate and the at least one aluminum oxide layer, and a thickness of the first silicon oxide layer is in a range of 0.1 nm to 5 nm.

Abstract: The invention uses gel layers to cover and/or separate one or more aqueous reaction mixtures in a reaction vessel. A gel layer can protect reagents or reaction products from contacting the atmosphere. A gel layer can also separate multiple aqueous reaction mixtures so that they do not contact one another until the gel layer is broken. An oil layer can be inserted immediately underneath a gel layer. Gel layers can be penetrated by insertion of a tip from a micropipette to deliver a solution, such as a sample, below a gel layer. Micropipette tips or inert rods can also be used to disrupt gel layers resulting in mixing of aqueous reaction mixtures above and below a layer. Gel layers can also be broken by selective application of heat or movement of magnetic beads. Multiple gel layers separating multiple aqueous reagent mixtures can be broken in a defined sequence for an ordered series of bioprocessing steps.

Abstract: Systems and methods are provided for calculating, using an electronic processor, an average environmental brightness and determining a current pulse width modulation (“PWM”) output level provided to the light source. The method also includes determining, using the electronic processor, a target illumination level and a PWM adjustment rate. The PWM adjustment rate is based at least partially on the calculated average environmental brightness. The method also includes adjusting, using the electronic processor, the current PWM output level at the determined PWM adjustment rate to reach the target illumination level, and transmitting the adjusted PWM output level to the light source. The target illumination level is determined as a function of the current PWM output level and an output mode of the light source.

Abstract: The photovoltaic cell includes a silicon substrate, a first passivation layer, a second passivation layer, at least one silicon oxynitride layer, and at least one silicon nitride layer. The second passivation layer includes a first silicon oxide layer and at least one aluminum oxide layer, and a thickness of the at least one aluminum oxide layer is in a range of 4 nm to 20 nm. The number of silicon atoms is greater than the number of oxygen atoms in the at least one silicon oxynitride layer and the number of oxygen atoms is greater than the number of nitrogen atoms in the at least one silicon oxynitride layer. The first silicon oxide layer is disposed between the substrate and the at least one aluminum oxide layer, and a thickness of the first silicon oxide layer is in a range of 0.1 nm to 5 nm.