79results about How to "Less invasive" patented technology

The invention relates to the technical field of machine tool monitoring, in particular to a numerical control boring and milling tool cutting force data intelligent monitoring method which comprises the following steps: positioning a high-speed camera in a cutting area of a numerical control boring and milling machine, continuously capturing instantaneous images of particle splashing and sparks, and collecting and analyzing particle and spark distribution of each frame in real time; a cutting site image data stream is obtained. According to the method, images generated by particle splashing and sparks in the cutting area of the boring and milling machine are captured in real time by using the high-speed camera, the prediction accuracy of tool wear and potential faults is improved by analyzing image data streams, data processing is optimized by adopting a deep learning network, and the accuracy of tool wear and potential fault prediction is improved. Particle and spark features extracted from the image provide quantitative indexes for the tool wear state, cutting force and vibration sensor data are integrated, the accuracy of abnormal point analysis is enhanced, machine tool maintenance is more predictable, and cutting parameters are adjusted in real time, so that production continuity and high efficiency are ensured, and the fault shutdown cost is reduced.

The invention discloses a SiC MOSFET gate oxide layer degradation monitoring method based on turn-off oscillation, and the method comprises the steps: measuring the drain-source current change rate diDS / dt when a SiC MOSFET is turned off through the source stray inductance voltage vcir, and carrying out the measurement of the gate oxide layer degradation of the SiC MOSFET based on the offset of the negative temperature sensitivity of the threshold voltage VTH in the diDS / dt and the positive temperature sensitivity of the electron mobility mu. Zero temperature sensitivity of a source stray inductance voltage negative peak value vcircmin is realized by adjusting a driving resistor RG and a negative voltage VEE during turn-off, and the gate oxide layer degradation degree of the SiC MOSFET is monitored under a selected monitoring driving resistor RGM and a turn-off gate voltage VEEM. The monitoring method is high in universality and has a good monitoring effect on degradation of gate oxide layers of SiC MOSFETs of different models; the temperature influence is extremely small, so that the device can work in an environment with large temperature fluctuation; a pin of a monitored device does not need to be used as a measurement interface, so that the system invasiveness is small; the parameter measurement methods are many and mature; and the method has great online application potential.

The invention discloses an interaction method and device of a business system and a third-party database, a medium and a system. The method comprises the following steps: receiving a user request sent by a user in a service system; in the running process of the service system, if it is identified that the service system runs to a preset tangency point, calling a target JavaScript script corresponding to the current preset tangency point through a Naporn engine; the target JavaScript script is executed in a Naporn engine, so that the target JavaScript script is used for being used for interacting with a third-party database, and the third-party database is used for interacting with the third-party database through the target JavaScript script; and performing service response on the user request according to interaction data returned by the target JavaScript script of the preset tangency point. By adopting the technical scheme, decoupling of third-party interface calling and database reading logic can be realized, and the flexibility and maintainability of a software system are improved.

The invention relates to a micro-service authentication method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: configuring security authentication modules for all micro-services in a link; based on the starting key, acquiring an identity certificate and an authentication rule corresponding to the micro-service from the security center module by using the security authentication module, and periodically rotating the identity certificate and the authentication rule; under the condition that a business request sent by the upstream micro-service to the downstream micro-service is received, controlling a security authentication module of the upstream micro-service to send a bidirectional authentication request to a security authentication module of the downstream micro-service; under the condition that the bidirectional authentication request passes verification, controlling a security authentication module of the downstream micro-service to authenticate the service request based on the identity certificate and the authentication rule; and under the condition that the authentication is passed, controlling the downstream micro-service to carry out business processing. By adopting the method, the flexibility of the authentication capability can be improved in the communication process between micro-services.

The invention relates to the technical field of medical imaging, in particular to a medical ultrasonic image segmentation method and system based on adaptive feature fusion. The method comprises the following steps: acquiring medical ultrasonic image historical data, and performing ultrasonic medical history feature extraction according to the medical ultrasonic image historical data so as to obtain medical ultrasonic image medical history data; constructing an ultrasonic image disease classification model according to the medical history data of the medical ultrasonic image so as to obtain the ultrasonic image disease classification model; a patient medical record ultrasonic image is obtained, zero pixel points are removed according to the patient medical record ultrasonic image, and therefore a patient non-zero pixel point ultrasonic image is obtained; and performing ultrasonic layered tissue analysis according to the non-zero pixel point ultrasonic image of the patient to obtain tissue lesion area data. The medical ultrasonic image segmentation accuracy is improved based on the medical imaging technology.

The invention provides a method and device for predicting diabetic nephropathy, electronic equipment and a storage medium. The method comprises the following steps: acquiring questionnaire data of a target diabetic patient, and a first fundus image and a second fundus image of the same type; constructing a target Bayesian network according to the questionnaire data; based on the target Bayesian network, calculating joint probability distribution of the target diabetic patient concurrent diabetic nephropathy to obtain a first probability value; performing difference feature extraction on the first fundus image and the second fundus image to obtain target difference feature data; performing concurrent diabetic nephropathy probability prediction on the target difference feature data to obtain a second probability value; and according to the first probability value and the second probability value, determining a target probability of complicating diabetic nephropathy of the target diabetic patient. The invention aims to construct a simple, economic and low-trauma early screening system for diabetic nephropathy.

The invention discloses a plasma tissue dissociation knife, and relates to the technical field of medical instruments. In order to solve the problems that when an existing endoscopic surgery relates to a plurality of instruments, the instruments need to be frequently switched for surgical operation, and the surgical efficiency is reduced, the following technical scheme is provided: the endoscopic surgical instrument comprises a tool bit, a tool bar, a handle and a cable which are connected in sequence; the cutter head comprises a blade telescopic assembly arranged on the head portion, an endoscope guide tube and a cutter head telescopic control mechanism are arranged in the handle, and the cutter head telescopic control mechanism drives a blade in the blade telescopic assembly to stretch out and draw back through a transmission piece. The positive cable extends to the tool bit to be connected with the blade telescopic assembly, the negative steel pipe is connected with the negative cable, and double-frequency emitter cutting is formed at the blade; the suction channel arranged in the cutter bar is used for flushing the surgical field and sucking turbid liquid in the operation. Compared with a traditional cold instrument, cutting efficiency, bleeding amount control, clear surgical field, cutter bar size optimization, cutting flexibility, sealing performance, operation convenience and the like are remarkably improved.

The invention relates to a transaction message delivery processing method and device, equipment and a readable storage medium. The method comprises the steps of determining a transaction message corresponding to completion of a business event under the condition that the business event on a first business system is completed; a message header of the transaction message carries a transaction identifier associated with the business event; service operation corresponding to the service event is used as a parameter to be transmitted to the transaction message sending method; under the condition that execution of the transaction message sending method is completed, a local transaction method is executed through the message middleware, service operation is executed, a transaction identifier is obtained, the transaction identifier is stored in a newly-added transaction table, and transaction identifier storage and service operation execution are placed in the same transaction; and delivering the transaction message to a second service system isolated from the first service system if the transaction identifier exists in the newly added transaction table under the condition that the execution of the local transaction method fails. By adopting the method, the reliability of transaction message delivery can be ensured.

The invention provides an AS risk identification and prediction method based on AI ultrasonic images and hydromechanics, which quantifies the influence of plaques on blood flow through deep learning and hydromechanics simulation, and adopts ultrasonic images and Doppler data to construct a plaque AI identification model, so as to identify the AI risk of the plaques. Identifying plaque morphological characteristics in the artery cross section ultrasonic image of the patient and blood flow characteristics in the Doppler blood flow data, and outputting a morphological score corresponding to the plaque morphological characteristics and a hemodynamic score corresponding to the blood flow characteristics; and comprehensively calculating and outputting an AS risk score of the AS patient. The plaque detection accuracy based on the ultrasonic image is improved, and quantitative evaluation of the acute thrombus risk is realized. Multi-level analysis can be carried out on the form and blood flow characteristics of plaques, and more accurate risk grading support is provided for doctors. The non-invasive ultrasonic image is combined with AI and fluid mechanics simulation to realize double analysis of morphological characteristics and hemodynamic parameters of the atherosclerotic plaque.

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 invention discloses a method for realizing incremental migration by a network packet capture analysis mechanism, which comprises the following steps of: 1, network packet capture: monitoring network communication between a database and an application, and capturing incremental data in real time; and step 2, data change identification: identifying data change by analyzing the captured network packet. And 3, extracting and processing incremental data: analyzing the captured data, establishing a data change record, and further classifying and extracting the incremental data needing to be migrated. And 4, data transmission and write-in: sending and writing the incremental data into a target database or a data storage system through a transmission and write-in processing tool. And 5, logging and monitoring: tracking each link in the data migration process, recording and monitoring system logs, and finding and solving problems in time. According to the method, the intrusion to the source database is reduced, and the operation and use of the original business are not influenced.

This invention relates to the fields of brachytherapy and radiosensitization, specifically providing a... 125 I-nano implantable particles, their preparation methods, and applications. 125 The 1-nanometer implanted particles have a core-shell structure, consisting of a particle core and particles adsorbed on the outer surface of the particle core. 125 I and the particles encapsulated in the nucleus and 125 The outer shell of the I-type photosensitizer is a covalent organic framework. This invention... 125 The core of the I-nanometer implanted particle is used to enhance the energy deposition of gamma rays and X-rays, generating more hydroxyl radicals; the shell containing a type I photosensitizer is used to absorb the energy of Auger electrons and internal conversion electrons and excite the photosensitizer to generate singlet oxygen, effectively improving the response to... 125 The efficiency of I decay energy utilization. 125 I-nano implanted particles, combined with internal radiation therapy and radiodynamic therapy, destroy tumor cell DNA and cell membranes, enhance tumor killing and induce immunogenic cell death, thereby activating anti-tumor immunity and inducing remote effects.

According to the face fatigue detection method based on the multi-feature vector machine, feature extraction is carried out on an input face image sequence by utilizing Dlib face feature positioning, and mouth feature classification and eye feature classification are carried out by utilizing face information; and further training the classified and labeled eye and mouth data sets through a support vector machine. And finally, applying the trained classifier to fatigue recognition, and inputting a result of the classifier into a fatigue detection method to judge a fatigue state. According to the method, generalization of the training model is enhanced in a data driving mode, the fatigue detection capability of the model in different scenes is improved, and the method has the advantages of low cost, low invasiveness and high accuracy and can be applied to fatigue detection tasks of related personnel in different industrial scenes.

The present invention belongs to the technical field of tumor molecular biology, and specifically relates to the application of a biomarker for early screening of colorectal adenoma and colorectal cancer. The biomarker is clusterin. The present invention analyzes serum samples from normal healthy people, hyperplastic polyps, and adenomatous polyps by weak cation exchange magnetic beads (WCX-MB) and matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS), selects differential polypeptides in significantly differentially expressed peaks, and identifies corresponding differential proteins by high-throughput sequencing, thereby exploring potential biological markers for early carcinogenesis of intestinal polyps. The biomarker provided by the present invention has good diagnostic efficacy for adenoma and colorectal cancer, which is significantly better than traditional tumor markers, and is of great significance for early screening and early diagnosis of colorectal tumors.

The invention relates to the technical field of keloid resection, and discloses a minimally invasive surgery device for keloid core resection, which comprises a body, and further comprises an outer sleeve fixedly connected to the front end of the body, the outer sleeve is of a slender hollow structure and is used for being inserted into keloid tissues through a skin tiny incision; the inner cutting tube is coaxially arranged in the outer sleeve and can rotate relative to the outer sleeve, and an annular cutting edge used for cutting keloid fibrous tissue is formed at the far end of the inner cutting tube; according to the minimally invasive surgery device for keloid core excision, the outer sleeve and the inner excision tube are coaxially arranged, and the annular cutting edge used for cutting keloid fibrous tissue is formed at the far end of the inner excision tube, so that the device can enter the keloid through a tiny incision of the skin; on the premise of reducing skin wounds, effective treatment of keloid core tissues is realized, and improvement of postoperative healing effect and appearance recovery are facilitated.

The application provides a data reconciliation method and device, electronic equipment and storage medium, and relates to the technical field of data processing. The method comprises the following steps: in response to detecting a target exchange task, reading a first offset value of a first message queue; in response to detecting that the target exchange task ends, reading a second offset value from the first message queue; and reconciling objects matched with the target exchange task in a source end and a destination end according to the first offset value and the second offset value to obtain a reconciliation result. Thus, the offset values of the first message queue before and after the storage object exchange (such as data exchange and file exchange) can be stored by a control node, the data reconciliation is performed according to the offset values of the first message queue before and after the object exchange, and no additional batch field needs to be stored in the destination end, so that the invasiveness to the destination end can be reduced.

An object of the present invention is to provide a bioadhesive sheet-shaped material for use by attaching the bioadhesive sheet-shaped material onto a surface of an organ, a method for producing the bioadhesive sheet-shaped material, and a method for treating a disease by using the bioadhesive sheet-shaped material. According to the present specification, a bioadhesive sheet-shaped material, including an extracellular matrix layer, a sheet-shaped cell culture, and a biodegradable gel layer, in which the bioadhesive sheet-shaped material has the extracellular matrix layer on one surface and the biodegradable gel layer on the other surface with the sheet-shaped cell culture interposed therebetween, and is for use by attaching the extracellular matrix layer onto a surface of an organ, and the like are provided, and the above problem has been solved.

The utility model discloses an intramedullary needle for treating fracture and convenient to hold, which is provided with a treatment section and a holding section for operating and holding, and a positioning structure for holding and positioning is further arranged on the holding section. The intramedullary needle conforms to tubular bone biological fixation, the treatment section can be effectively prevented from rotating in the surgical treatment operation process through the holding section, the penetration depth and path of the treatment section can be further accurately controlled, the treatment accuracy is improved, and the treatment duration is shortened. When the intramedullary needle is used in the treatment process of metacarpal bone fracture, further damage to fracture local hematoma and periosteum can be avoided through closed reduction, blood supply of sclerotin is protected, and fracture healing is facilitated. The intramedullary needle is small in trauma, small in wound scar and beneficial to attractiveness; intramedullary fixation retains the minimally invasive characteristic of kirschner wire fixation, and the fixing effect is more stable and lasting than that of a kirschner wire, and the articular surface is not damaged.

The application discloses a data security protection method and system of a WEB information system; the method comprises the following steps: a front end adoptsWEBPACK to pack and introduce a code confusion module; the front end encrypts and sends request data; a back end verifies, decrypts, forwards the request data, and receives response data returned by an actual business processing program; the back end returns the response data to the front end after encryption; and the front end intercepts a response receiving event of an HTTP / HTTPS client, decrypts the received encrypted response data by using a dynamic key, and obtains actual response data. The application has extremely high security and extremely low modification cost for an original system, and a back end business program does not need to be modified.

The application relates to a method and system for dynamically optimizing CPU scheduling based on thread affinity, and belongs to the technical field of computer operating system performance optimization. The system constructs an affinity thread graph of a target thread in real time through eBPF, analyzes the CPU resident distribution of the affinity thread, integrates the affinity information into CPU selection, task queuing and dispatching logic, realizes the same core / NUMA node scheduling of the target thread and the affinity thread, reduces the cross-core overhead, and improves the execution efficiency of the target thread.

The present invention relates to the field of machine tool monitoring technology, specifically to an intelligent monitoring method for cutting force data of a CNC boring and milling tool, comprising the following steps: positioning a high-speed camera in the cutting area of ​​a CNC boring and milling machine, continuously capturing instantaneous images of particle splash and sparks, collecting and analyzing the distribution of particles and sparks in each frame in real time, and obtaining a cutting scene image data stream. In the present invention, by using a high-speed camera to capture images of particle splash and spark generation in the cutting area of ​​a boring and milling machine in real time, by analyzing the image data stream, the accuracy of prediction of tool wear and potential faults is improved, a deep learning network is used to optimize data processing, the particle and spark features extracted from the image provide quantitative indicators for tool wear status, the cutting force and vibration sensor data are integrated, the accuracy of abnormal point analysis is enhanced, and machine tool maintenance is more predictable. By adjusting cutting parameters in real time, the continuity and high efficiency of production are ensured, and the cost of downtime due to failures is reduced.

The invention provides a method for realizing dynamic configuration of a reaction scaffold. The method comprises the following steps of: constructing a dynamic network configuration file in the reaction scaffold; mounting the network configuration file on a network; introducing a pre-constructed dynamic configuration tool into the react project, monitoring a modification operation of a user on the network configuration file through the dynamic configuration tool, and reading configuration information in the modified network configuration file; and triggering the front-end server to update the network configuration according to the configuration information read by the dynamic configuration tool through a preset triggering event, and starting the updated network configuration. According to the dynamic configuration implementation method for the reaction scaffold, the external dynamic configuration tool is adopted to modify the network configuration of the front-end server, the reaction project does not need to be restarted, and the restarting time is saved.

The invention relates to the technical field of cloud computing, in particular to a multi-tenant system permission protection and vulnerability repair method and system.The method comprises a horizontal unauthorized protection method and a vertical unauthorized protection method which are used for enhancing the security of a multi-tenant system and preventing unauthorized access and permission abuse; the multi-tenant system permission protection and vulnerability repair method and system have the advantages that during implementation, only an sdk packet needs to be introduced, an interceptor is registered, no extra workload exists, and compared with a traditional annotation-based mode, the system invasiveness is small, and the workload is low; adjustment can be carried out at any time through a configuration mode, and additional double reinforcement protection is carried out for key resources; vulnerability repair response is fast, after vulnerabilities are found, only configuration of leaked resources needs to be adjusted, the vulnerabilities can be blocked immediately, and system upgrading does not need to be carried out; the method has good general adaptability, and can be applied to various application subsystems through an interceptor mode; and the vertical and horizontal unauthorized vulnerabilities can be protected and repaired at the same time.

The present invention discloses a low-intrusion compensation method and device for distributed transactions, and relates to the technical field of automatic programming, wherein the method comprises: when receiving a main transaction request, intercepting the business SQL statement of each sub-transaction; parsing the business SQL statement of each sub-transaction, obtaining the SQL statement type and condition of each sub-transaction as the parsing result; generating a pre-data snapshot before the execution of the business SQL statement of each sub-transaction and a post-data snapshot after the execution of the business SQL statement according to the parsing result of each sub-transaction; when receiving a rollback request for each sub-transaction, generating a rollback SQL statement of each sub-transaction according to the pre-data snapshot and post-data snapshot corresponding to each sub-transaction; the rollback SQL statement is used to complete the backwash operation. The present invention can reduce the intrusiveness of the business and the development amount of the staff, and reduce the development cost.

The utility model provides a kind of nail bed biopsy assembly, including main body, main body includes outer tube and inner core, outer tube includes outer tube head, and the lateral wall of outer tube head is equipped with outside hole, outside hole is towards the nail bed;Inner core includes inner core head, and inner core head includes inner core inner arc surface and inner core outer arc surface, the edge of inner core inner arc surface and the edge of inner core outer arc surface are connected, to form cutting part respectively at the two side edges of inner core inner arc surface and inner core outer arc surface, the distance between the edge of inner core inner arc surface and the edge of inner core outer arc surface gradually decreases from rear side to front side, and tissue accommodating part is formed on inner core inner arc surface;Inner core is rotationally arranged in outer tube, and inner core head is oppositely arranged with outer tube head, when inner core rotates relative to outer tube, the cutting part of inner core head is rotated and cut to nail bed through outside hole, and cut nail bed tissue is contained in tissue accommodating part, it is convenient and fast to use, small trauma and fast recovery.

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.

The invention discloses a PDAC staging prediction method and device combining deep learning and machine learning. The method comprises the following steps: acquiring a serum metabolic spectrum data set; constructing different combination models randomly composed of a deep neural network, a convolutional neural network and a long short-term memory network; different hybrid models based on different combination models are constructed, the hybrid models adopt the combination models to realize feature extraction of the serum metabolism spectrum data, and classification is performed according to the extracted features by adopting a machine learning algorithm; training different hybrid models based on the data set, obtaining the trained different hybrid models, comparing the performance, and selecting the hybrid model with the best performance as a prediction model; and utilizing the prediction model to realize stage prediction of the PDAC. According to the method, different types of neural networks are constructed to perform staging prediction of different clinical stages of PDAC, and the optimal hybrid model is determined by comparing the classification performance of different clinical staging cases of PDAC by different hybrid models.

The invention belongs to the technical field of fault detection of industrial manufacturing equipment, and discloses a rotating machinery multi-scale feature fault diagnosis method based on a non-intrusive signal. A multi-label data set is constructed, the multi-label data set comprises current fundamental wave signals and current residual signals collected under different working conditions, the current fundamental wave signals are provided with working condition labels, and the current residual signals are provided with fault labels; a plurality of Times Block models of the same network structure are introduced, model pre-training is performed by using training set residual signals and fault labels, a multi-channel attention mechanism based on working condition information is introduced to obtain multi-channel multi-scale fault signal low-dimensional representation, and a self-adaptive joint loss function composed of working condition classification loss and fault classification loss is introduced. According to the invention, the problems that the fundamental wave covers the fault feature and the signal-to-noise ratio of the original current signal is low when the rotating machinery fault diagnosis is carried out based on the current signal are solved.

The utility model relates to medical instrument technical field in general, and more particularly to a kind of postoperative minimally invasive subcutaneous continuous drainage device, including puncture needle, drainage sheath, three-way valve, drainage tube and negative pressure drainage bottle, three-way valve includes first port, second port and third port, first port and second port coaxial arrangement, drainage sheath is connected with first port, puncture needle is inserted by second port and passes out from drainage sheath, negative pressure drainage bottle is connected with third port by drainage tube.The application is pierced by puncture needle, so that drainage sheath enters the wound part in body together, after reaching the wound part, the puncture needle is extracted from second port, since the puncture needle fills the drainage sheath when puncturing, the tissue debris can be avoided to block the drainage sheath, after extracting the puncture needle and leaving the drainage sheath, the drainage sheath can establish good suction passage, and simultaneously switch three-way valve, so that pus and blood water directly enter negative pressure drainage bottle along drainage tube from third port, avoid the leakage of drainage fluid caused by complicated disassembly and assembly.