17results about How to "High popularity" patented technology

The invention discloses a method for dynamically constructing a UDF based on a large model. The method comprises the following steps: S1, constructing a multi-dimensional requirement cue word of a user-defined function according to characteristics and use requirements of a target platform; s2, the multi-dimensional requirement cue words are input into a pre-trained large language model for code generation, the large language model is subjected to multi-round iteration based on the multi-dimensional requirement cue words, and an optimal code sequence for achieving the user-defined function is output; s3, code style standardization is carried out on the optimal code sequence, and a compiler or an interpreter and a static analysis tool are respectively called to carry out grammar check and static analysis on the optimal code sequence, and constructing an optimization cue word according to an error log output by the compiler or the interpreter and a static analysis result output by the static analysis tool, and inputting the optimization cue word into the large language model to carry out iterative optimization on the optimal code sequence.

The utility model relates to compacting equipment technical field especially relates to a module base plate quick change elastic compacting mechanism, its technical scheme includes mechanism chassis, be provided with sliding rail on the mechanism chassis, the sliding rail is installed respectively with left side elastic quick change pressure head and right side elastic quick change pressure head, be provided with module positioning tool between left side elastic quick change pressure head and right side elastic quick change pressure head, module board is installed on the module positioning tool. The utility model is provided with the mechanism that can carry out motion control and compacting to guarantee the stability of motion, and avoid the interference to compacting, whole control clamping is more stable, guarantees that copper base plate each pressure point position can be compacted more evenly, and the elastic pressure head structure is designed, can change according to pressure point height, and the pressure head height is adjusted automatically.

The invention relates to the technical field of molding sand binders for casting, in particular to preparation and application of a water-resistant and moisture-resistant silicate inorganic binder, the binder is composed of a liquid component and a solid powdery reinforced modifier, based on the mass of sand, the adding amount of the liquid component is 2%, and the adding amount of the solid powdery reinforced modifier is 1%; the liquid component comprises liquid sodium silicate, a silane coupling agent and an organic silicon waterproof agent; the solid powdery reinforced modifier comprises amorphous silicon dioxide, metakaolin and fly ash; the hardening condition of the binder is that the binder is heated and hardened at 150-200 DEG C. According to the invention, geopolymers such as metakaolin and the like are introduced into a solid powdery reinforced modifier, and a three-dimensional network structure is formed by a silica tetrahedron and an alumina tetrahedron, so that water resistance and moisture resistance are realized through an alkali excitation reaction; and meanwhile, silane and an organic silicon waterproof agent are combined to form a synergistic waterproof effect, so that the prepared sand core does not bleed in water and does not fall apart after being soaked in water for several days.

The utility model relates to the technical field of intelligent robots, in particular to an explanation robot, which comprises a body part, an explanation part, an explanation part and an explanation part, the armoring part comprises a body armoring piece, upper limb armoring pieces and lower limb armoring pieces, the body armoring piece is detachably arranged on the body part, and the upper limb armoring pieces and the lower limb armoring pieces are detachably connected to upper limb joints and lower limb joints of the limb parts respectively. According to the scheme, the bionic design is adopted, the color adjusting design capable of adjusting the color is adopted for the head, under the condition that the robot interacts with the visitors, namely the visitors touch the fingers, color switching can be conducted, the interaction feeling is high, the bionic design and the aesthetic feeling are better, audiences can be better attracted to watch, and the popularity of science popularization is improved.

This application discloses a hyperboloid roller skating rink, belonging to the field of sports field construction structure technology. It includes an outer field, an inner field, fencing, protective mechanisms, and reinforcing support mechanisms. The rink is divided into an outer field and an inner field by the fencing. The inner field includes a track and a lawn. The track has a hyperboloid design, including a smooth zone, a transition zone, and an acceleration zone. This application uses the fencing to distinguish the inner and outer fields. The inner field has a track and a lawn. The hyperboloid design, with its continuous undulations, not only increases the difficulty of the track but also enhances its fun factor, making it popular among sports enthusiasts. It has a high usage rate and popularity, thereby improving productivity and promoting the expansion of roller skating rinks and the popularization of roller skating. By placing the roller skating rink outdoors, it can accommodate more people to watch. Simultaneously, the lawn outside the track in the inner field reduces direct friction between the skater and the ground after a fall, thus reducing injury and greatly improving the practicality of the device.

The invention discloses an online calibration optical probe device, and relates to the technical field of optical detection equipment, the online calibration optical probe device comprises a monitoring sample pipeline and a waste discharge pipe, auxiliary connecting frames are symmetrically embedded in the two sides of the monitoring sample pipeline, and an optical emission probe is embedded in the auxiliary connecting frame on the left side. The on-line calibration optical probe device can realize a real-time on-line calibration function in practical application, in the equipment operation process, the optical probe does not need to be removed from a work site, the optical probe can be automatically calibrated by utilizing the interval time of the detection work or according to a preset calibration period, and in the industrial production process monitoring, the real-time on-line calibration of the optical probe can be realized. The optical probe can automatically carry out online calibration once every certain time (such as 1 hour) while the production line continuously runs, so that the accuracy of detection data is ensured, equipment shutdown caused by offline calibration is effectively avoided, the continuity of the production process is ensured, and the working efficiency is remarkably improved.

The invention provides a modeling method for evaluating the sub-health state of terahertz multi-modal data, and belongs to the technical field of terahertz multi-modal data processing and sub-health state evaluation.The method comprises the steps that terahertz time-domain spectroscopy, terahertz imaging and physiological sign data are synchronously collected, and targeted denoising, normalization and time alignment preprocessing are conducted on the terahertz time-domain spectroscopy, the terahertz imaging and the physiological sign data; key features of each modal are extracted, and feature vectors are generated through attention mechanism fusion; an evaluation model is constructed based on an improved algorithm, evaluation results such as sub-health risk levels are output after training verification of a classification sample set, and the model is periodically and incrementally updated. The method is applied to special evaluation equipment, and all modules are linked according to data logic. The method makes up for the limitation of single data evaluation, improves the data quality and evaluation accuracy, guarantees the stable evaluation effect, achieves non-invasive rapid evaluation, promotes technical engineering landing, and provides support for sub-health recognition and intervention.

The embodiment of the invention provides an input processing method and device, electronic equipment and a storage medium, the method is applied to a compatible layer, and the method comprises the steps that in the process that a target input window of a target Windows application program running in the compatible layer receives a text input operation, a target message is monitored in real time; the target message comprises any one of the following messages: a mouse moving message, a mouse clicking message and a window obtaining input focus message; when the target message is monitored, acquiring a first coordinate of a current input position under a screen coordinate system of the compatible layer, and converting the first coordinate into a second coordinate under a client area coordinate system of a target input window; and converting the second coordinate into a third coordinate under the X11 top window coordinate system, and updating the input position attribute of the input context corresponding to the target input window into the third coordinate. According to the method, the position of the input method candidate box and the actual position of the input cursor can be synchronized in real time, and the input efficiency is improved.

The application relates to the technical field of magnetic detection, and particularly discloses a multi-scene compatible target magnetic anomaly detection standard module which comprises a rod body unit, a first collection unit, an electronic cabin unit and a data transmission unit. The first collection unit is arranged in the rod body unit and collects first data. The rod body unit is arranged on the electronic cabin unit, and the electronic cabin unit is connected to the first collection unit. The data transmission unit is arranged on the rod body unit and connected to the electronic cabin unit. After receiving and processing the first data, the electronic cabin unit outputs the data to an upper computer through the data transmission unit. The application is designed to be light and has unified physical interfaces, so that the application can be quickly disassembled and matched with different carrying platforms and is suitable for different detection environments.

The application belongs to the technical field of electrical components, and particularly relates to a fuse, which comprises a body, a cavity arranged in the body, a fuse core arranged in the cavity, an insulating shell, an arc extinguishing medium and a fuse body, the fuse body is encapsulated in the insulating shell, the arc extinguishing medium is filled in the insulating shell and wraps the fuse body, the fuse core is respectively provided with a main contact at two ends, the cavity is provided with a facing anti-deviation unit, the facing anti-deviation unit comprises a rotating shaft installed in the cavity and a winding roller installed on the rotating shaft, the winding roller is connected with a cable, the body is provided with a handle dismounting device, the handle dismounting device comprises a retaining guide block installed in the cavity, the retaining guide block is located at the top end of the fuse core, and a retaining guide cylinder is connected to one side of the retaining guide block close to the fuse core, so that a novice can conveniently replace the fuse body, the practical application limitation of the fuse is reduced, and the use effect is improved.

The invention relates to a sample analyzer and a body fluid sample detection method. The method comprises the following steps: acquiring optical signal data of a to-be-detected liquid prepared based on a body fluid sample; the light signal data comprises at least two of a forward scattering light signal, a lateral scattering light signal and a fluorescence signal; generating a scatter diagram of the to-be-detected liquid according to the optical signal data; determining a scatter diagram type and / or an abnormal region in the scatter diagram based on the scatter diagram; the scatter diagram type comprises a normal type, a detection anomaly type and a quality anomaly type; under the condition that the scatter diagram type is abnormal, determining at least one of an auxiliary diagnosis result and a sample quality inspection result of the body fluid sample according to the scatter features of the abnormal region and the scatter diagram type; the scatter features are used for representing the particle distribution condition of the abnormal region. According to the method, by determining the abnormal area of the scatter diagram, targeted recognition and judgment can be performed according to the scatter features in the abnormal area of the scatter diagram, and the sensitivity and specificity of an auxiliary diagnosis result and / or a sample quality inspection result are / is improved.

This invention discloses a biomarker combination, a test kit, and their applications for assessing ovarian reserve function. The biomarker combination includes the protective biomarker melatonin, dehydroepiandrosterone sulfate, and the damage biomarker 8-hydroxydeoxyguanosine. A protection-damage balance system is constructed to differentiate between physiological and pathological ovarian reserve decline. The test kit contains a saliva sampling component, a pretreatment solution, a lateral chromatography test strip, and an age-stratified colorimetric card. The test strip has three test lines and one control line, simultaneously detecting the three indicators using a colloidal gold method. The test involves morning fasting sampling, pretreatment to remove interference, color development, and comparison with the age-stratified colorimetric card, outputting three types of results: age-consistent, physiological decline, or pathological decline. This enables non-invasive, instrument-free, and visually interpretable home testing, solving the problems of high invasiveness, high platform dependence, difficulty in eliminating age interference, and unintuitive results in existing technologies.

An automated scoring system for medial temporal lobe atrophy (MTA) based on YOLO deep learning includes: a coronal slice selection module, an improved YOLOv8 model construction module, an optimal coronal slice automatic selection module, and a medial temporal lobe atrophy detection and automatic scoring module. This invention provides an automated MTA scoring technique that balances accuracy, versatility, and ease of use. By using a lightweight deep learning YOLO object detection framework and combining it with an appropriate loss function, computational overhead is reduced while maintaining algorithm performance. Furthermore, a user-friendly front-end interface improves the efficiency and accuracy of clinical MTA scoring. This invention provides an efficient, accurate, and consistent automated MTA scoring system with significant clinical application value and promising prospects, and is expected to play an important role in the early diagnosis and monitoring of neurodegenerative diseases such as Alzheimer's disease.

The application provides a detection method of a blood glucose-lowering active ingredient TrpCA of paracasei Lc19, which comprises the following steps: S1, pretreating a to-be-detected sample by using a methanol aqueous solution to obtain a detection solution; and S2, analyzing the detection solution by using a high performance liquid chromatography-fluorescence detector to determine the content of the TrpCA, wherein an impurity trapping column is arranged between a gradient mixer and a sample injector in the high performance liquid chromatography-fluorescence detector. The application utilizes the structural characteristics (endogenous fluorescence chromophore-indole ring) of the TrpCA, realizes accurate detection of the TrpCA with a sodium molar per liter level by means of the characteristic fluorescence of the indole ring and by optimizing the detection steps and chromatographic conditions. The method provided by the application has high sensitivity, high accuracy and high selectivity, and is simple to operate, economical in cost and widely applicable.

The application discloses a kind of fatigue driving monitoring method, equipment and medium based on cloud intelligent learning, belong to the technical field of automobile monitoring.The method comprises: obtaining the monitoring video data of driver, and sends to cloud;Monitoring video data is handled based on image preprocessing algorithm, to extract multiple facial features of driver;Multiple facial features are handled based on fatigue identification model, to determine fatigue degree;Fatigue degree is sent to cloud based on early warning;Cloud database is handled based on cloud computing module, and iterative operation training identification model is operated, to obtain the deviation of training identification model, the training identification model of minimum output deviation;The weight factor of minimum training identification model of deviation is obtained by processing minimum training identification model of deviation based on reverse operation algorithm, and fatigue identification model is updated.The application improves the accuracy, popularity and stability of monitoring fatigue driving by the above method, while not affecting the normal driving of driver.

The invention relates to the technical field of public health information. The invention discloses a public health data retrieval method based on natural language processing. The public health data retrieval method comprises the steps that S1, a natural language retrieval instruction of a user is received; s2, analyzing an instruction through a large language model of the semantic analysis component, generating a vector value, retrieving metadata and an index component, and generating a retrieval expression; s3, checking and adjusting the expression through a semantic analysis confirmation component; s4, the data retrieval code generation component determines table attributes and association according to the expression, and SQL is generated; and S5, calling the SQL query database by the data retrieval execution component, and returning a packaging result to the user. By means of natural language processing and multi-component cooperation, the public health data retrieval threshold is lowered, and the accuracy is improved. Users can retrieve through daily languages, and non-technical users can efficiently obtain data. The system confirms a component multi-dimensional verification retrieval expression through semantic analysis, and ensures that data is matched with requirements.

The utility model provides a floating type normal-pressure hydrogen storage photovoltaic power generation system, and the system comprises a normal-pressure hydrogen bag which is disposed on an idle water surface below or beside a photovoltaic cell panel. The hydrogen production machine is communicated with the normal-pressure hydrogen bag and the hydrogen fuel power generation device through a hydrogen pipeline, and photovoltaic electric energy is gathered and concentrated through a photovoltaic wire, so that the electric energy is converted into hydrogen for normal-pressure storage. According to the invention, the continuity and stability of power supply can be ensured, and a new low-cost technical path can be provided for replacing thermal power by photovoltaic power generation.