10 results about "Experiment Object" patented technology

The utility model relates to a small animal social contact box for evaluating depression behavior, which comprises a box body with the periphery closed, a longitudinal first partition plate is fixedly arranged in the box body, the left side of the first partition plate is a first experimental area, and a transverse second partition plate and a transverse third partition plate are sequentially arranged on the right side of the first partition plate from back to front. The second partition plate is of a transparent structure, the right side of the second partition plate penetrates through the right wall of the box body and is slidably connected with the right wall of the box body in the transverse direction, an operation handle is arranged at the right end of the second partition plate, the third partition plate is fixedly arranged, and a second experimental area, a third experimental area and a fourth experimental area are sequentially arranged on the right side of the first partition plate from back to front; corresponding animals are placed in different experiment areas, so that experiment objects are convenient to move, and the experiment objects can be prevented from jumping out of the experiment areas.

The application relates to the technical field of data query, and particularly discloses a data query method for a medical experiment system, which comprises the following steps: step S1: establishing a medical experiment report library, binding structured stored experiment information for each piece of experiment data, including experiment object attributes, a detection index set, experiment condition parameters and experiment conclusion keywords; step S2: constructing a knowledge graph based on the experiment information, taking the experiment object attributes as root nodes, the detection index set as secondary nodes, the experiment condition parameters as tertiary nodes, and generating semantic relationship edges between nodes according to the experiment conclusion keywords; and step S3: analyzing an abstract query sentence input by a user, mapping the abstract query sentence to corresponding nodes and semantic edges of the knowledge graph, and returning matched experiment data through path traversal; the method solves the problems of semantic understanding difficulty and insufficient correlation analysis in traditional medical data query, and significantly improves the query efficiency and accuracy.

The invention discloses a method for verifying and stimulating an intervention effect of creative thinking on social common situation prejudice, and the method comprises the steps: dividing experiment objects into an experiment group and a control group, and designing a creative starting task for carrying out creative thinking activities for the experiment group; the experiment group executes at least two rounds of creativity starting tasks and forms creativity fluency and originality data of each test object; meanwhile, the test objects of the control group execute a control starting task of the same round, and the control starting task is an imitation activity without creative thinking; after the task is completed, neural activities of test objects of the experimental group and the control group are recorded through an electroencephalogram technology when the test objects watch the faces of the inner group and the outer group, brain wave characteristics related to social classification and estrus sharing are analyzed, and the social classification effect and the estrus sharing prejudice effect are measured; and forming an analysis report according to a measurement result. The method scientifically and objectively evaluates and stimulates the interference effect of creative thinking on social common situation prejudice.

The invention discloses a junior high school physical mechanics exploration experiment teaching method and system based on VR, and the method comprises the steps: obtaining the teaching demand data of a target experiment, and the teaching demand data comprises the basic attributes of an experiment object, the interaction logic of a mechanics principle, the dynamic change parameters of an experiment scene, and the behavior feedback of students; and processing the teaching demand data to obtain feature vectors corresponding to the teaching demand data, and respectively inputting the feature vectors into the virtual experiment classification model to obtain experiment classification tags corresponding to the feature vectors, and the invention relates to the technical field of virtual reality education. Through intelligent processing of teaching demand data and application of a machine learning model, the experimental design efficiency is remarkably improved, the labor cost is reduced, the flexibility and expansibility of the system are enhanced, an efficient and reliable solution is provided for physical mechanics teaching in junior high schools, and the system is suitable for various education scenes and has high popularization and application value.

The application discloses a chemical experiment monitoring optimization method and device based on digital twinning and electronic equipment, and the method comprises the following steps: dividing a laboratory into multiple operation unit areas, and creating corresponding management shells for each operation unit area to control experiments and collect data; converting a current experiment process into experiment tasks and experiment operations, and mapping collected data to corresponding experiment objects; creating and training a prediction model, inputting the data mapped to the experiment objects into the prediction model to monitor the state of the current experiment; and optimizing the current experiment process according to the result of the current experiment process and the data mapped to the experiment objects. The application combines data collection, data mapping and a prediction model to establish a closed loop from data collection to experiment monitoring optimization in the laboratory, so that data collection, prediction, monitoring, index analysis, experiment optimization and simulation display of the experiment process are realized.

The invention relates to the technical field of oilfield development, in particular to a wellbore environment simulation experiment system and method.The system comprises a simulation wellbore which is formed by connecting multiple sections of coiled coiled tubing in series and used for simulating the wellbore environment; the stratum rock debris module can dynamically inject rock debris with different physical properties according to a geological sequence; the formation fluid module is used for simulating formation fluid; the bottom hole temperature module can accurately control the bottom hole temperature; the bottom hole pressure module can simulate formation pressure; the digital twin system receives data of each module to construct a virtual wellbore model and feeds back calibration experiment parameters in real time; the optical fiber sensing network realizes continuous monitoring of temperature and strain of the whole shaft; the data acquisition and analysis module is used for analyzing a multiphase flow evolution law; through the combination of the digital twin system and the optical fiber sensing network, the high-fidelity simulation of the shaft environment is realized, the simulation precision and the monitoring capability are obviously improved, various experimental objects are supported, and powerful technical support is provided for oil-gas exploration and drilling engineering.

The utility model discloses a separating type operation panel and an animal experiment device thereof, and belongs to the technical field of animal experiments, the separating type operation panel comprises a base plate, and the base plate is provided with a positioning hole; the separating plate is arranged in the positioning hole; the two constraining assemblies are symmetrically arranged on the left side and the right side of the separating plate and used for constraining the four limbs of the experimental subject; the head positioning assembly is used for restraining the head of the experiment object, and the head positioning assembly comprises two limiting units and a transverse sliding rail arranged at one end of the separating plate. According to the utility model, the separating plate and the substrate are designed, and the separating plate and the substrate are connected in a clamping manner, so that the stable connection between the separating plate and the substrate is ensured, and rapid disassembly and assembly are facilitated, and therefore, experimental objects can be conveniently transferred on different stations; the binding assembly and the head positioning assembly both adopt sliding adjustment design, the positions can be flexibly adjusted according to the body type of an experiment object and experiment requirements, and the flexibility and adaptability of experiment operation are improved.

The utility model relates to a biological experiment automatic manipulator clamping jaw which comprises a mechanical arm and a clamping jaw body. One end of the mechanical arm is fixed on the experiment table top, and the other end of the mechanical arm is connected with the clamping jaw; the clamping jaw comprises a connecting part and a clamping part, one end of the connecting part is connected with the clamping part, and the other end of the connecting part is connected with the mechanical arm; a first movable plate and a second movable plate are arranged at the end, connected with the clamping part, of the connecting part, and the first movable plate and the second movable plate are arranged to be two plates capable of moving left and right relatively. Compared with the prior art, by arranging the uncovering clamping jaw, the operation of moving and uncovering is combined, so that the automation level is greatly improved, meanwhile, by configuring the recognition chip on the clamping jaw, real-time monitoring of an experimental object is guaranteed, and the effectiveness of an experiment is guaranteed.

The invention relates to the technical field of data query, and particularly discloses a data query method for a medical experiment system, which comprises the following steps: S1, establishing a medical experiment report library, and binding structurally stored experiment information for each piece of experiment data, including experiment object attributes, a detection index set, experiment condition parameters and experiment conclusion keywords; s2, constructing a knowledge graph based on the experimental information, taking experimental object attributes as root nodes, taking a detection index set as second-level nodes, taking experimental condition parameters as third-level nodes, and generating semantic relation edges among the nodes according to experimental conclusion keywords; s3, analyzing abstract query statements input by a user, mapping the abstract query statements to corresponding nodes and semantic edges of the knowledge graph, and returning matched experimental data through path traversal; according to the method, the problems of difficulty in semantic understanding, insufficient correlation analysis and the like in traditional medical data query are solved, and the query efficiency and accuracy are remarkably improved.

An experimental subject processing control method and apparatus, and a device and a storage medium. The method comprises: on the basis of the states of all existing experimental subjects on an experimental platform, predicting and calculating an execution time required for a single experimental subject at each target device resource to complete each target experimental step corresponding to the target device resource; acquiring a process time for a single experimental subject to reach the target device resource to execute each target experimental step; determining a corresponding maximum time difference for the target device resources on the experimental platform to execute the target experimental steps; and on the basis of the maximum time difference and a preset threshold, determining whether to acquire a subsequent batch of experimental subjects and add same to the experimental platform to execute a target experimental flow.