89results about How to "High acceptance" patented technology

The invention relates to the technical field of intelligent voice interaction, in particular to an AI mobile phone voice interaction method oriented to automatic marketing, which comprises the following steps of: providing a comprehensive basis for personalized marketing and improving the marketing pertinence by recognizing a user emotional state and a real-time user intention in parallel and mastering the user state; an emotion state transition network is dynamically constructed and updated, key indexes are extracted, and a user emotion change rule is analyzed, so that an interaction strategy is accurately adjusted; semantic fragments are recombined by combining emotional stability and emotional infection degree indexes, adaptive dynamic marketing verbal skill is generated, the attraction and persuasion of the verbal skill are enhanced, and the marketing effect is improved; the local NPU is utilized to synthesize emotional voices and superpose features, so that natural and vivid interaction experience is provided, and recognition of a user on marketing content is enhanced; through dynamic decision-making verbal skill strategy cross-scene switching, timely adjustment is carried out according to user changes, marketing strategy stiffness is avoided, and the marketing success rate is guaranteed.

The invention discloses a feature analysis and prediction method for drawing a depression patient based on a convolutional neural network, and belongs to the field of artificial intelligence and mental health. The method comprises the following steps: acquiring drawing image data of a depression patient and a healthy control group, and constructing a standardized data set; preprocessing such as denoising, size normalization and edge enhancement is carried out on the image; constructing a convolutional neural network model comprising four convolutional layers, two pooling layers and a feature fusion layer, and automatically extracting key features such as line definition, spatial layout and detail richness by adopting a variable receptive field mechanism and an attention module; correlation analysis is carried out in combination with scores of a clinical evaluation scale, and the model is optimized through transfer learning and a focus loss function; and generating a risk assessment report. According to the method, objectivity and accuracy of depression screening are remarkably improved, subjective evaluation deviation is reduced, visual decision support is provided for clinicians, and early recognition and intervention of depression are achieved.

The invention provides a human-computer interaction method, electronic equipment and a storage medium, relates to the technical field of human-computer interaction, and is used for reducing user operation steps and improving user experience. The method comprises the following steps: in response to detection of a selection operation of a user on data on a current display screen, obtaining data content selected by the user, and receiving an operation instruction input by the user; calling the first large language model to perform processing operation indicated by the operation instruction on the data content to obtain a processing result of the data content; and displaying the processing result on the current display screen.

The invention is applicable to the technical field of clinical examination and auxiliary diagnosis, and provides an extreme behavior risk auxiliary diagnosis biomarker combination, a kit and a detection method, the biomarker combination is composed of IL-4, IL-12 and IFN gamma, and the extreme behavior risk can be objectively identified by detecting the expression level of the combination in peripheral blood of a subject. The matched kit comprises specific antibodies aiming at the three markers, a standard substance, a buffer solution and other reagents, and according to the standardized detection method, through peripheral blood sample treatment, incubation, fluorescent staining, flow detection and result analysis, precise evaluation is achieved in combination with a clear judgment threshold value. According to the method, the defect that suicide risk assessment depends on a subjective scale and doctor experience in the prior art is overcome, the operation is convenient, the result is objective, the combined detection AUC of the suicide risk assessment, the subjective scale and the doctor experience can reach 0.726, a reliable extreme behavior risk auxiliary diagnosis means is provided for clinic, and the method is particularly suitable for risk identification of depression patients and has important clinical application value and conversion prospect.

The utility model relates to the technical field of artificial hives, in particular to a modularized field long-term monitoring hive which mainly comprises a main hive. The main nest box is of a box body structure with an opening in the top and used for providing living space for birds. The top opening of the main nest box is detachably connected with a monitoring equipment box through a connecting part to form a modular combination; the connecting part is of an axially-extending reducing structure, one end of the connecting part is matched with a connecting opening in the bottom of the monitoring equipment box, and the other end of the connecting part is matched with an opening in the top of the main nest box. A multi-stage reducing structure is arranged at the end matched with the main hive, and the size of each reducing stage corresponds to the size of an opening in the top of the main hive of different specifications, so that universal connection between the main hive of different specifications and the monitoring equipment box is achieved; the hive breaks through the traditional installation limitation, and the installation and use efficiency of monitoring equipment is greatly improved. And a single part can be conveniently detached and replaced, so that the maintenance difficulty and cost are reduced, and powerful support is provided for bird research and protection work.

The invention discloses a bracelet tumble detection system and detection method based on a magnetic attraction split type framework, and belongs to the technical field of intelligent wearing. The system comprises an upper watch body and a lower watch body which can be separated, and the lower watch body continuously monitors the connection state of an acceleration sensor and a magnetic attraction contact. When a user falls down, a transient signal interaction change of a contact can be caused by a violent impact force, and a specific electric signal characteristic is generated. According to the invention, through fusion analysis of the acceleration sensor threshold and the contact transient signal, high-precision and low-false-alarm identification of the fall event is realized. Meanwhile, the split type design is matched with a double-battery management strategy, so that the problem of monitoring interruption during the charging period is solved. The system also has a multi-level alarm link guarantee, and ensures reliable transmission of help-seeking information. According to the invention, the safety monitoring capability of wearable equipment of high-risk crowds such as old people is effectively improved.

This application discloses a method, apparatus, electronic device, and computer-readable storage medium for recommending objects. The method includes: in response to an instruction to determine whether a target object is eligible for recommendation to a target user, obtaining identification information of the target object; determining a first storage location in a preset data structure filter based on the identification information, the data structure filter including multiple storage locations for storing identification information of first objects previously recommended to the target user and deactivation time information for re-recommending the first object; and, when data is read from the first storage location, if the read data includes the identification information of the target object, and the first deactivation time indicated by the deactivation time information in the read data is less than or equal to the current time, then determining that the target object is eligible for recommendation to the target user, and recommending the target object to the target user. The solution provided by this application can dynamically recommend objects in a reasonable and efficient manner.

The invention relates to the technical field of vehicle control, in particular to a vehicle control method and system based on the head posture of a driver, and the method comprises the following steps: obtaining first inertial data of the head of the driver, and synchronously collecting image data containing optical mark points on a head-mounted device; based on the image data, calculating to obtain a visual estimation posture of the head of the driver; based on the first inertial data, calculating to obtain an inertial estimation posture of the head of the driver; performing data fusion on the visual estimation attitude and the inertial estimation attitude to obtain six-degree-of-freedom attitude information of the target; acquiring head posture information and a driving instruction of a driver, and establishing a mapping rule between the head posture information and the driving instruction information; and according to a mapping rule, converting the target six-degree-of-freedom attitude information into a corresponding vehicle control instruction, and sending the vehicle control instruction to a vehicle execution mechanism to control vehicle actions, so that the vehicle driving safety of a driver can be improved.

The invention relates to a medicinal and edible compound extract for improving myelosuppression of a tumor patient after chemotherapy, and a preparation method and application of the medicinal and edible compound extract. The compound extract is extracted from a composition at least comprising the following raw material medicines in parts by weight: 0.9-10 parts of tricholoma matsutake, 0.9-10 parts of mulberry and 0.5-10 parts of rhizoma polygonati. The raw material medicine composition further comprises the following raw material medicines in parts by weight: 0.7-10 parts of longan, 0.5-10 parts of pericarpium citri reticulatae, 0.5-10 parts of scorched hawthorn fruit, 0.5-10 parts of fructus amomi, 1.1-10 parts of cordyceps sinensis rice flour and 2.5-15 parts of rice peptide. The selected raw material medicines are all medicinal and edible components, do not cause adverse effects on liver and kidney functions and gastrointestinal tracts of eaters, and are high in safety and high in patient acceptance degree. Effect verification results show that the mulberry compound extract has an improvement effect on the side effect of bone marrow suppression of tumor patients, especially in the early stage, no related adverse reaction is found, and a safe and effective treatment choice is provided for bone marrow suppression.

This utility model relates to the field of mixing device technology and discloses a mixing device for ginseng beverages. It includes a stirring tank, a mixing component located between the top and bottom of the top cover, a filter component inside the feed pipe, a limiting component for fixing the filter component on the outer side of the feed pipe, and a flow-retarding component at the top of the filter component. This utility model allows ginseng extract to flow slowly into the feed pipe, preventing it from accumulating on the filter component and affecting filtration efficiency. Filtration can be performed before the ginseng extract enters the stirring tank, filtering particulate impurities onto the top of the filter plate. This prevents the ginseng extract containing particulate impurities from mixing with other ingredients, thus avoiding a rough taste, cloudiness, and dark color caused by particulate impurities, thereby improving the visual appeal of the ginseng beverage and increasing consumer acceptance.

The invention discloses an emotional dialect interactive medicine taking intelligent medicine box for basic-level multi-disease-coexisting old people, and relates to the technical field of intelligent medicine boxes, and the technical scheme is characterized in that the intelligent medicine box comprises a medicine storage bin and a built-in system of the medicine storage bin; the built-in system comprises a dialect custom interaction and medication decision support module, a multi-mode medication verification module and a communication and remote management module, and the multi-mode medication verification module comprises a medicine image recognition subsystem and a high-precision weight sensing subsystem. According to the intelligent medicine chest, emotional interaction, multi-modal perception and AI decision are deeply fused, the problems that in the prior art, an intelligent medicine chest is lack of emotional interaction, unreliable in medicine taking verification and lack of medicine risk early warning are solved, and a full-chain health guarding closed loop of'reminding-verification-education-early warning 'is achieved; the medication safety, the compliance and the health management level of the grassroots multi-disease coexisting old people are obviously improved.

According to the public interaction terminal for target area navigation, the guidance method, the medium, the program product and the electronic terminal provided by the invention, the route, the state prompt and the recommendation information are synchronously output through the same digital human image, so that the sense of information dispersion is reduced; information is screened in real time according to the target position of the user and the scene, irrelevant advertisement interference is avoided, and user acceptability is improved; according to the method, only temporary session data is stored and cleaned regularly, personal identities are not stored, user privacy is protected, and compliance interaction is realized. When the user inquires the destination, navigation information of step-by-step path guidance is provided for the user, the personalized recommendation content related to the target position is automatically generated according to the target position and the current scene state of the user, and the user experience is improved through the anthropomorphic digital image. Comprehensive guide information of way directing, reminding and recommending is output to the user in the form of voice broadcast and visual presentation.

The present disclosure provides a cover element for a battery pack. The cover element is generally planar and formed using a silicate mineral. The cover element is configured to seal to a perimeter of the battery pack and attach to a top surface forming an array of the battery pack. The cover element includes a cover aperture configured to align with a vent hole in the top surface of the array and the cover element forms a seal around the vent hole to provide a fluid path from the cover aperture. The cover element can be formed using mica and includes a terminal aperture aligned with a terminal of the array. A battery pack (250) including the cover element and a vehicle including such a battery pack are also disclosed.

This invention provides an interpretability system for mortality prediction models, comprising a prediction model module, a global interpretation module, an individual interpretation module, and a visualization interface module. By introducing a dual interpretation mechanism of the global and individual interpretation modules, the SHAP analysis unit of the global interpretation module generates a global feature importance ranking and an individual feature contribution distribution visualization, demonstrating the importance ranking of multi-source features in predicting mortality risk, enabling users to establish a macro-level understanding of the key aspects of the mortality prediction model. The individual interpretation module generates personalized interpretation reports, indicating the quantitative contributions of key features and crucial characteristics that drive increases or decreases in mortality prediction values. Through this combination of macro-level understanding and micro-level attribution, the mortality prediction model's predictions are transformed from an incomprehensible "black box" into a verifiable chain of evidence, effectively solving the core pain point of traditional models being difficult to apply due to their lack of interpretability.

The application discloses an intelligent traffic auxiliary correction method and system based on remote sensing monitoring, relates to the technical field of intelligent traffic assistance, and comprises effective point feedback and point driving correction. First, user historical eye movement and vehicle dynamic data are collected through the effective point feedback step, driving behavior concentration duration is calculated, behavior types are matched, and eye movement data occurrence rates are counted, current driving data and image recognition are combined, and the first preferred point of the user is determined; voice prompts are given and steering auxiliary force is adjusted. Secondly, historical remote sensing data are collected through the point driving correction step, invalid data are analyzed, and eye movement focus side view angle correction values are summarized; driving directions are prompted, and turning compensation force is applied. The application realizes precise driving assistance through multi-source data fusion, improves safety, adapts to different driving habits through the linkage of historical and real-time data, and improves the precision of the auxiliary system.

The application relates to the technical field of intelligent interaction systems and automobile customer service marketing, and discloses a traffic automobile customer service marketing method and system based on a large language model, wherein the traffic automobile customer service marketing method based on the large language model comprises the following steps: collecting driver fixation point data by using an eye movement tracking algorithm to generate eye movement trajectory data sets; constructing a visual attention heat map to form a user attention distribution model; calculating multi-medium characteristic parameters to establish a medium characteristic model; using the large language model to generate and adapt personalized marketing content and output multi-medium compatible marketing information; realizing intelligent attention guidance according to the user attention distribution model, the medium characteristic model and the multi-medium compatible marketing information; and realizing accurate perception and quantitative analysis of the visual attention of the driver through the eye movement tracking technology, so that the marketing system can master the user focus points in real time, and the technical problem that a traditional interface cannot perceive actual user focus points is solved.

The present application belongs to the technical field of cosmetics, and particularly relates to an anti-aging composition containing lactoferrin and application thereof. The anti-aging composition provided by the present application can realize synergistic effects among four components of the medicinal Fomes fomentarius extract, the Clitoria extract, the Artemisia annua extract and the lactoferrin in terms of anti-aging, achieve excellent elastase inhibition effects, prevent the degradation of elastin in the dermis, effectively reinforce the elastin scaffold, and thus improve the anti-aging effect of the composition. The anti-aging composition applied to the prepared emulsion can improve the skin firmness (R0 change rate), the skin plastic elasticity (R2 change rate) and the facial wrinkles (wrinkle change rate), has the anti-aging effect of improving wrinkle removal and skin tightening and promoting skin elasticity, and does not cause skin irritation, that is, has the characteristics of safety and mildness, has a wide application range, and has high consumer acceptance.

The utility model relates to a traditional Chinese medicine brooch which comprises a brooch body, a buckle and a sealing cover. A traditional Chinese medicine containing cavity is formed in the rear face of the brooch body, and a diverging layer is arranged on the front face of the brooch body and communicated with the traditional Chinese medicine containing cavity. A connecting pipe is arranged at an opening of the traditional Chinese medicine placing cavity, and an external thread is arranged on the side surface of the connecting pipe; an internal thread matched with the external thread is arranged on the inner side wall of the sealing cover, and the sealing cover is connected to the connecting pipe; the buckle is connected to the middle of the rear face of the sealing cover. The traditional Chinese medicine brooch has the advantages that when the traditional Chinese medicine brooch is used, a traditional Chinese medicine bag is placed in the traditional Chinese medicine placing cover, the traditional Chinese medicine brooch is worn in front of the chest of a human body through the buckle, and the traditional Chinese medicine ingredients in the traditional Chinese medicine bag penetrate through the diffusing layer on the traditional Chinese medicine placing cover and are slowly released through skin permeation or respiration. The effects of health care and disease prevention are achieved.

This patent application discloses a method for constructing a risk prediction system for age-related hearing loss based on metabolomics, belonging to the interdisciplinary field of biomedicine and artificial intelligence. The method first acquires peripheral blood metabolomics data, pure-tone audiometry results, and age information of subjects, and then screens out age-related hearing loss patients with symmetrical hearing loss and healthy controls. Next, a hierarchical screening strategy is used to identify multiple core metabolites related to the age-related hearing loss state itself from massive amounts of data. Subsequently, based on these core metabolites, a predictive model is constructed using machine learning algorithms, and rigorously validated through independent internal and external clinical cohorts. This invention achieves early, accurate, and interpretable risk warning for age-related hearing loss, exhibiting excellent predictive performance.

The invention discloses a lane selection and lane change control method based on lane level road flatness information. The method is executed when a vehicle intelligent driving or auxiliary driving system is started and a vehicle runs on a one-way multi-lane road. The system obtains lane-level positioning results regularly or irregularly, collects data, evaluates the road flatness of a current driving lane, and uploads the road flatness to a map provider. The system also regularly or irregularly queries and controls the vehicle to keep or change to the optimal lane for driving according to the road flatness information of each traffic lane of the current road provided by the map provider. Meanwhile, the system receives a voice lane change instruction sent by a driver based on visual observation and / or somatosensory perception of road flatness, and controls the vehicle to execute lane change. And when the vehicle changes the lane due to the reason that the vehicle does not drive out of the road, evaluating the road flatness of the lane after lane change, comparing the road flatness with the original lane before lane change, and controlling the vehicle to turn back to the original lane if the lane change is poor.

This invention relates to the field of health food, specifically to a solid beverage for assisting in lowering blood pressure and blood lipids and its preparation method, comprising: 40-45% traditional Chinese medicine extracts, 50-55% food ingredients, and the remainder being excipients; 10-15 parts red yeast rice extract, 5-10 parts hawthorn extract, 5-10 parts gastrodia elata extract, 5-10 parts salvia miltiorrhiza extract, 1-5 parts alisma plantago-aquatica water extract, and 1-5 parts poria cocos water extract; 15-20 parts oat β-glucan powder, 10-15 parts resistant dextrin, 5-10 parts phytosterol micronized powder, and 5-10 parts freeze-dried fruit powder. This solid beverage combines extracts of medicinal and edible herbs such as red yeast rice, salvia miltiorrhiza, and hawthorn with food ingredients, without the addition of chemically synthesized drugs, avoiding the risks of drug interactions and potential side effects, conforming to the principle of food and medicine sharing the same origin, and thus having higher consumer acceptance and compliance.

The invention provides a Parkinson's disease rapid RT-QuIC diagnostic kit based on A30P mutant alpha-synuclein, and belongs to the technical field of detection kits. The specific A30P mutant protein is used as a reaction substrate, and rapid and high-sensitivity amplification detection can be carried out on trace misfolded alpha-synuclein in a skin sample through an optimized RT-QuIC system. The kit has the characteristics of short detection period and convenience in operation, provides a new tool for molecular diagnosis of Parkinson's disease, is suitable for definite diagnosis of clinical PD suspected cases, and can also be used for screening high-risk groups. The kit has the advantages of mature preparation process, easily available raw materials, easiness in industrial production and large-scale popularization, and important clinical application value.

This invention discloses a modified Dingtong Decoction granule, its preparation method, and its application, belonging to the field of traditional Chinese medicine preparation technology. The granule is made from cinnamon twig, white peony root, prepared licorice root, dried ginger, jujube, Sichuan pepper, dried plum, Quisqualis indica root bark, roasted hawthorn fruit, roasted malt, roasted barley sprout, fragrant rice sprout, maltose, astragalus root, angelica root, vinegar-processed corydalis rhizome, stir-fried atractylodes macrocephala rhizome, and poria cocos. This invention employs a two-factor optimized preparation process of 95℃ constant-temperature micro-boiling extraction + 45% ethanol directional alcohol precipitation. After screening and verification at three temperature levels (80℃, 95℃, and 100℃), the extraction rates of effective components such as paeoniflorin, cinnamaldehyde, and corydaline are increased by more than 18% compared to traditional decoctions. Among these, the retention rate of cinnamaldehyde is increased by more than 30% compared to boiling extraction, and the toxicity of components such as azadirachtin is reduced by more than 42%. The granule formulation of this invention achieves a cure rate of 76.7% for recurrent abdominal pain of the deficiency-cold type in children, with a recurrence rate of less than 9% after 6 months, an increased pain relief speed of 38%, good patient compliance, and high safety, demonstrating significant clinical application value.

The utility model discloses a functional task training device for a hemiplegic hand, which utilizes and strengthens the residual function of an affected hand, solves the problems of the conventional post-stroke power type hand function training device, and comprises a main body bracket, a first elastic piece, a connecting rod, a connecting belt, a finger plate and a second elastic piece, the main body bracket is provided with a palm part and a thumb part; the palm part is C-shaped, and two ends of the palm part form openings on palm sides; the first elastic pieces are arranged on the left side and the right side of the front portion of the body support respectively and comprise first connecting parts, first connecting rods, first torsional spring rings, second connecting rods, second torsional spring rings, third connecting rods, third torsional spring rings and second connecting parts which are sequentially connected. The first connecting parts are fixed on left and right sides of the main body bracket; the two ends of the connecting rod are fixed to the second torsional spring rings of the two first elastic pieces respectively. The connecting belt is wound on the two third connecting rods; the two ends of the finger plate are fixed to the two second connecting parts correspondingly. Two ends of the second elastic member are respectively connected to two sides of the opening.

The invention relates to the technical field of traditional Chinese medicines, and particularly discloses a Miao medicine composition for prostate health care. The traditional Chinese medicine composition is prepared from the following raw materials in parts by weight: 10-20 parts of bulbophyllum, 8-15 parts of phryma leptostachya, 5-12 parts of sambucus chinensis, 3-8 parts of pseudo-ginseng and 2-6 parts of ethanol. The Miao medicine composition is prepared by the following steps: washing, drying and mixing the sambucus chinensis, the phryma leptostachya, the sambucus chinensis and the pseudo-ginseng, adding an ethanol water solution for soaking, and filtering to obtain an extracting solution, namely the Miao medicine composition. The Miao medicine composition can be used for relieving symptoms such as frequent micturition, urgent urination and unsmooth urination caused by benign prostatic hyperplasia and chronic inflammation, and can be used for improving local blood circulation and microcirculation; the powerful targeting effect on deep target tissue prostate is realized, so that the enhanced curative effect of treating both symptoms and root causes is achieved; the traditional Chinese medicine composition has the advantages of quick response, remarkable and lasting curative effect, high safety and good patient comfort and acceptability.

This invention relates to the field of electric vehicle charging facility operation and safety management, and particularly to a smart operation method and system for charging stations based on charging user behavior characteristics. The smart operation method for charging stations based on charging user behavior characteristics includes the following steps: S1: When a vehicle initiates a charging request, the vehicle identification code of the requesting vehicle is obtained; based on the vehicle identification code, the thermal management capability parameters of the vehicle are parsed and obtained, the thermal management capability parameters including the theoretical maximum continuous charging power and the thermal management type. This invention, by integrating vehicle hardware thermal management capability identification, user thermal behavior preference mining, and multi-agent collaborative reinforcement learning, achieves coordinated optimization of safety, efficiency, and personalized experience in high-heat-risk scenarios of charging networks, transforming thermal safety management into pre-emptive prevention and global collaboration, forming a complete closed loop from precise perception and intelligent decision-making to personalized services.

A housing unit (2) for a semiconductor power module (1) comprises a molded body (3) configured to enclose electrical components of the semiconductor power module (1). The housing unit (2) further comprises at least one terminal (10) integrated and at least partially embedded in the molded body (3) such that the at least one terminal (10) extends through the molded body (3) and an end (11) of the at least one terminal (10) is exposed at an upper surface (6) of the molded body (3) with respect to a stacking direction (A) of the semiconductor power module (1). The at least one terminal (10) further comprises at least one sealing structure (13, 14) arranged in a boundary region (5) between the exposed end (11) and the molded edge (4) of the molded body (3), the sealing structure (13, 14) being configured to limit an upper extension of the molded body (3) during formation of the molded body (3).

The invention discloses an enhanced MRI (Magnetic Resonance Imaging) imageomics model evaluation method for predicting EGF (Epidermal Growth Factor), and relates to the technical field of medical image processing and tumor diagnos.The method comprises the following steps: acquiring an enhanced MRI image of a high-grade glioma patient, and performing image preprocessing and tumor area sketching to obtain an enhanced MRI image of the high-grade glioma patient; first-order statistical features, shape features, texture features and wavelet transform features are extracted, a maximum correlation minimum redundancy algorithm and a recursive feature elimination algorithm are adopted for feature screening, key radiomics features are obtained, then a gradient enhancement algorithm is adopted for constructing an EGF expression level prediction model, a radiomics score is calculated, and the EGF expression level is predicted. The non-invasive evaluation of the expression of the high-grade glioma EGF is realized, the constructed radiomics score is obviously related to the prognosis of a patient, the clinical formulation of an individualized treatment scheme can be assisted, and the method has an important clinical application value.