12results about How to "Realization reservation" patented technology

The invention provides a wurtzite boron nitride / diamond composite material and a preparation method and application thereof, the composite material is composed of two phases of wurtzite boron nitride and diamond, and has a stacked sandwich microstructure, the sandwich microstructure comprises at least one first wurtzite boron nitride layer and at least one second wurtzite boron nitride layer, wherein the first wurtzite boron nitride layer is formed by wurtzite boron nitride; at least one second wurtzite boron nitride layer composed of wurtzite boron nitride; the composite material comprises a first wurtzite boron nitride layer, a second wurtzite boron nitride layer and a diamond layer, the diamond layer is arranged between the first wurtzite boron nitride layer and the second wurtzite boron nitride layer and is made of diamond, wurtzite boron nitride is a metastable phase stably existing under normal pressure, and the Vickers hardness of the composite material is larger than 50 GPa. The novel wurtzite boron nitride / diamond composite material disclosed by the invention has high hardness, high toughness and high thermal stability, and the preparation method disclosed by the invention is low in initial raw material price and simple in preparation process.

The invention discloses a high-toughness plastic for a medical needle tube and a preparation method of the high-toughness plastic, and belongs to the technical field of polymer composite materials. The product comprises the following components: polycaprolactone, maleic anhydride grafted polylactic acid, a chitosan modified hydroxypropyl methyl cellulose derived carbon dot bacteriostatic agent and the like. The preparation method comprises the steps of preparation of the carbon dot bacteriostatic agent, pretreatment of raw materials, preparation of the functionalized master batch, segmented temperature control twin-screw extrusion melt blending and the like. The composite carbon dot bacteriostatic agent is constructed by hydrothermal carbonization-two-step amidation grafting, and is matched with the functionalized master batch preparation and interface regulation and control technology, so that the problems that the bacteriostatic agent of the existing medical needle tube material is easy to migrate, poor in compatibility and insufficient in toughness are solved, the synergistic improvement of long-term bacteriostasis and high toughness is realized, the biocompatibility is guaranteed, and the medical needle tube material has a good application prospect. The device is suitable for intrusive medical instruments such as medical needle tubes.

The invention relates to the technical field of traditional Chinese medicine preparations, and discloses a plaster for treating pain in neck, shoulders, waist and legs, which comprises a volatile and heat-sensitive medicinal material group, a heat-resistant medicinal material group with toxic components, a floating medicinal material group, sesame oil, a composite micro-coating matrix and a physical activator. During preparation, volatile and heat-sensitive medicinal materials are pretreated by adopting a composite micro-coating matrix, and toxic medicinal materials are subjected to micro-wetting treatment by adopting a physical exciting agent; and putting the mixed powder to be fed into high-temperature sesame oil at one time for reaction, then transferring to a closed mechanical forming cavity, and forming through a warm-pressure coupling process of medium-temperature normal pressure, high-temperature positive-pressure intense permeation and medium-temperature negative-pressure sudden drop. According to the invention, the degradation of toxic diester-type alkaloid and the retention of thermosensitive components are synchronously realized by utilizing the phase change heat insulation of the coating substrate and the vaporization and micro-boiling mechanism of the exciting agent, and the physical topological structure of the plaster is remolded through temperature-pressure coupling, so that the leaching amount of effective components, the transdermal release efficiency and the product forming stability are improved.

The application provides a wurtzite boron nitride / diamond composite material and a preparation method and application thereof. The composite material is composed of two phases of wurtzite boron nitride and diamond, and has a stacked sandwich microstructure, which comprises at least one first wurtzite boron nitride layer composed of wurtzite boron nitride, at least one second wurtzite boron nitride layer composed of wurtzite boron nitride, and a diamond layer composed of diamond and sandwiched between the first wurtzite boron nitride layer and the second wurtzite boron nitride layer. The wurtzite boron nitride is a metastable phase stably existing under normal pressure, and the Vickers hardness of the composite material is greater than 50 GPa. The novel wurtzite boron nitride / diamond composite material has high hardness, high toughness and high thermal stability, and the preparation method has low starting material price and simple preparation process.

This utility model provides a sample-keeping anti-counterfeiting incense packaging tube, belonging to the field of incense packaging technology. It includes a top cover, a connecting tube, and an incense tube. The connecting tube has a reserved channel with a limiting component. The limiting component contains multiple radially distributed tooth-shaped elastic limiting pieces. In its natural state, the tips of the elastic limiting pieces form a conical protrusion, enclosing a closed limiting hole. This utility model, through the deformation and reset characteristics of the elastic limiting pieces, strictly restricts the incense to only moving from the incense tube towards the top cover for sample incense sampling and inspection. Once all incense is removed, it cannot be reversed, preventing incense inconsistent with the incense already in the tube from being mixed back into the tube. This avoids confusion between different batches and qualities of incense, ensuring the consistency between the incense quality in the packaging tube and the seller's quality commitment. This helps quality-conscious and reputable companies protect their products from counterfeiting or malicious complaints and claims.

The invention discloses a battery aging trajectory adaptive extrapolation method fusing physical time sequence prior, which comprises the following steps: collecting full life cycle constant current charging data of a battery, extracting an incremental capacity curve, and constructing characteristic peak evolution to form multi-dimensional physical time sequence prior; a state space backbone network is introduced, and trend perception is achieved through a priori initialization implicit state; constructing an attention anomaly detection module to discriminate real relaxation and noise; monotonic constraint is released through a micro-relaxation layer for a relaxation event, and data is corrected through Kalman filtering for noise; and constructing a dynamic trade-off loss function to adaptively adjust the physical constraint strength, and iteratively training the model based on the corrected data to realize stable extrapolation prediction. The method effectively solves the problems that in the prior art, real physical relaxation and measurement noise cannot be distinguished, and prediction deviation is caused by physical constraint rigidity.

The application relates to a road network adjustment method and device. The method comprises the following steps: acquiring road network data of a target area; constructing a road network graph corresponding to the road network data according to the road network data; obtaining node embedding of all nodes and edge embedding of all edges of the road network graph according to the road network graph; obtaining an action probability distribution according to the node embedding of all nodes and the edge embedding of all edges; selecting a corresponding action according to the action probability distribution, wherein the action is an atomic operation on the road network graph; and adjusting the road network graph according to the selected action. The application abstracts a city road network into a graph structure for modeling, realizes deep understanding and reservation of spatial topological relations of the road network, understands and analyzes the road network from the perspective of overall correlation, solves the bottleneck problem that a traditional model cannot effectively process non-Euclidean space data such as the road network, and provides accurate and structured data basis for subsequent intelligent decision-making.

The invention discloses a method for measuring residual quantity of residual impurities DMAP and EDU in synthesis of antitumor drugs, and belongs to the technical field of drug analysis. According to the method, high performance liquid chromatography is adopted for detection; dimethyl sulfoxide is used as a solvent to dissolve the sample for detection; detection conditions of the high performance liquid chromatography are as follows: a chromatographic column is an octadecyl bonded silica gel column; the mobile phase A is a sodium perchlorate buffer solution or a potassium hexafluorophosphate buffer solution; the mobile phase B is acetonitrile; the detector is an ultraviolet detector; the detection wavelength for detecting the DMAP is 278 to 282 nm, and the detection wavelength for detecting the EDU is 198 to 202 nm; a gradient elution mode is adopted. The method is used for detecting DMAP and EDU residues in the raw material medicine, is high in sensitivity and accuracy, does not need a special column, can meet the control limit of the ICH guidance principle on genotoxic impurities and general impurities of the raw material medicine, provides reliable guarantee for impurity control of the raw material medicine, and further guarantees the safety of clinical medication.

This invention relates to the field of speech data processing technology, and discloses a data processing method and system based on a language function detection system. The method includes: acquiring raw detection audio streams and task event logs through the language function detection system; constructing a task-level unified time index sequence; constructing a dynamic silence threshold; performing task-level coarse segmentation on the raw detection audio stream; constructing effective response scores; identifying effective response segments and secondary correction segments; reconstructing task-level structured results; and outputting aphasia language ability assessment data. Compared to existing technologies that primarily process entire recordings uniformly, especially in aphasia rehabilitation assessment scenarios with long pauses, repetitive pronunciations, and intrusive prompts, this invention addresses the technical problem of accurately extracting effective response segments. By using task event-driven temporal alignment and dynamic silence threshold segmentation, this method improves the reliability of aphasia language function assessment data.

The application discloses a controllable stripping and plating method for a diamond-like carbon coating on a workpiece surface, and is aimed at processing a workpiece with a diamond-like carbon coating on the surface, and comprises the following steps: adopting oxygen plasma to bombard the surface of the workpiece after pretreatment, completely stripping carbon substances on the surface layer of the workpiece, and converting part or all of a transition layer deposited in gas phase into a metal carbon / oxide compound; then immersing the workpiece after the oxygen plasma bombardment in an alkaline immersion liquid A and an alkaline immersion liquid B in sequence, completely stripping the metal carbon / oxide compound remaining on the surface of the workpiece, and performing chemical polishing on exposed metal substances. The application does not damage the water plating metal layer, the stripping and plating quality is easy to control, and is beneficial to industrial production.

This application provides a data management method, apparatus, electronic device, and storage medium. The data management method includes: initializing N browser windows to cache target data from a target storage table into a first variable in each browser window; creating communication links between the N browser windows, where N is greater than or equal to 2; the target storage table is a storage table in the IndexedDB database corresponding to the browser; and the target data is an object structure including data keys and data values. When the target browser window triggers an update of the target data value corresponding to the target data key in the target storage table, the content in the first variable corresponding to the N browser windows is updated. When the array set includes the target data key, an update is triggered in the browser window corresponding to the target data key. This application can achieve unified data management across multiple browser windows, updating the corresponding browser window based on changes in the target data value.

The invention relates to a photovoltaic power generation power prediction method based on a stacked state frequency memory network and transfer learning. Compared with the prior art, the photovoltaic power generation power prediction method overcomes the defects that a photovoltaic power generation power prediction method is insufficient in frequency domain feature utilization, insufficient in robustness under data uncertainty and low in prediction precision when new site data is insufficient. The method comprises the following steps: data acquisition and preprocessing; constructing a three-layer stacked state frequency memory network; training a source site model and adjusting and optimizing parameters; target site migration and multi-strategy fine tuning; and predicting photovoltaic power generation power. According to the invention, controllable retention and forgetting of multi-frequency components are realized through time domain-frequency domain coupling and gating memory updating at a model structure level, and multi-scale characterization capability is enhanced through three-layer stacking and residual fusion at a network depth level. And the influence of insufficient new site data on the prediction precision is reduced through source site pre-training and target site multi-strategy fine tuning on the engineering application level, so that the short-term photovoltaic power prediction precision and the system robustness are improved.