12results about How to "Improve novelty" patented technology

The invention discloses a drug design optimization and precision medical analysis method and system based on swarm intelligence. According to the method, behaviors of weak meat and strong food groups are simulated, candidate drug molecules or patient pathological models are regarded as agents, and core data of the agents are protected by hiding virtual models; risks such as toxicity and off-target effect are actively identified and avoided through the security defense model; the intelligent agent is guided to escape from the local optimal solution and the invalid research and development path through the escape model; and finally performing fusion and multiple verification on the elite agent through the survival model, and outputting high-quality and low-risk candidate drug molecules or personalized treatment schemes. According to the method, a safe and anti-interference mechanism is embedded in an optimization process, the efficiency and success rate of new drug research and development are remarkably improved, and a powerful analysis tool is provided for precision medical treatment.

The present disclosure relates to a page display method and device, electronic equipment and storage medium. The method comprises: displaying first object material and second object material on a preset display page of preset media content corresponding to a preset business party; the first object material and the second object material are object materials of different objects corresponding to the preset business party; in response to a page jump instruction, the first object material and the second object material are controlled to collide with each other, and a preset animation including a first preset element is displayed; the first preset element is a common element of the two objects corresponding to the first object material and the second object material; in the case where the preset animation display ends, jump to a business page associated with the preset business party. The embodiments of the present disclosure can enrich the recommended objects, meet the diversified recommendation needs of the business party, improve the image shaping effect of the business party, and improve the novelty and interest of the animation in the page jump process, and improve the effect and interactivity of the joint recommendation of the two objects.

The invention relates to the technical field of data processing, and particularly provides an interpretable enterprise service matching method, system and device and a storage medium, and the method comprises the steps: obtaining enterprise user demand data, generating a structured enterprise demand vector, and analyzing the potential demand intention of an enterprise; dynamically determining a recall strategy combination according to the intention, and recalling an initial candidate case set from a case library according to the recall strategy combination; performing semantic analysis on the candidate cases to obtain matching features of each case; fusing the enterprise demand vector, the potential demand intention and the matching feature, calculating an interpretable matching score, and generating a sorted recommendation list according to the interpretable matching score; and finally, based on the recall strategy combination, the scoring elements and the case attributes, generating an explanatory recommendation reason for the recommendation case. According to the method, the problems of cold start, information cocoon room and decision black box in traditional enterprise service matching are effectively solved.

The utility model provides a scene toy which comprises a main board, a castle model is installed on the upper surface of the main board, two symmetrically-arranged light columns are installed on the surface of the castle model, a bottom plate is installed on the lower surface of the castle model through a plug connector, and a sound box is installed on the upper surface of the bottom plate. Detachable front plates are installed at the two corners of the front face of the bottom plate correspondingly, a slide is inserted into the main plate in a deviating mode, the lower end of the slide is inserted into one front plate, a plurality of vertical pipes are inserted into the upper surfaces of the front plates, and a pavilion model used for storing toy models is inserted into the upper end of one vertical pipe. A sofa model used for storing toy models is inserted into one side, far away from the castle model, of the upper surface of the main board. The castle toy has the advantages of being high in playability and multiple in creative playing method and linkage playing method.

This utility model discloses a pull-out animated drawer box, comprising an outer box with a window in the middle of its upper surface. A sliding strip is fixedly connected to the upper inner wall of the outer box, and a BOPP film is fixedly connected to the outer surface of the sliding strip. The length of the BOPP film is greater than the length of the sliding strip. This pull-out animated drawer box, through the arrangement of the outer box, window, BOPP film, animated images, film seam, and base box, allows two different animated images to be pasted on the BOPP film. One animated image is partially on the upper surface of the BOPP film on the sliding strip, and the animation is displayed through the window of the outer box. The other animated image is partially on the lower surface of the sliding strip. When the box needs to be opened and the base box is pulled out, the base box pulls out the BOPP film, and the positions of the two animated images are interchanged by the film seam, completing the animation effect and enhancing the fun and novelty of the pull-out box.

This invention relates to the fields of bioinformatics and tumor immunology, specifically disclosing a small-sample, multi-cell line TE neoantigen screening method based on third-generation sequencing. The method involves preprocessing long-read data from third-generation sequencing to generate a non-redundant transcript set and recording support. Quality control is performed to remove low-quality and artifact transcripts. TE annotations are mapped to identify and classify TE-exon1 events, forming a candidate list. Dual verification of transcription start sites and short-read splicing connections is completed. Multi-dimensional information is summarized to tier the candidates. For high- and medium-confidence candidates, ORF inference, peptide generation, antigen prediction, and risk filtering are performed. Translation and protein layer evidence verification are completed, and a traceable transcript isoform map and neoantigen peptide list are output. This invention is suitable for small-sample, multi-cell line scenarios. Through multi-step quality control, verification, and tiering, it significantly reduces the risk of false positives and off-target effects, improving the confidence level, evidence level, and stability and safety of the screening results.

The invention relates to the technical field of big data and digital advertisements, and particularly discloses an advertisement putting effect optimization method based on big data. According to the method, an advertisement creative gene pool is constructed, copywriting, color matching, layout and background music are coded into gene segments, and iterative evolution and self-optimization of advertisement materials are achieved through creative population initialization, dynamic feedback evaluation, natural selection, gene cross recombination and an environment pressure driven mutation mechanism. The system updates fitness scores in real time based on multi-source user behavior data, dynamically adjusts mutation probability in combination with external environment factors, and introduces a high-quality gene pool to accelerate convergence and ensure compliance. According to the technical scheme, creative fatigue is delayed, the novelty and conversion efficiency of advertisements are improved, and double optimization of the marketing effect and the user experience is achieved.

The application discloses a double-target scientific creativity generation method based on hierarchical reinforcement learning, aiming to improve the novelty and feasibility of generated content simultaneously. The method first uses a closed-source large language model to score academic review texts, builds a consensus dataset and trains novelty and feasibility reward models. In the training phase, the open-source model to be optimized is used as a strategy model. Through hierarchical sampling, novelty and feasibility-driven subgroups are constructed. The trained reward models are used to calculate the subgroup rewards and global rewards for the samples. Then, the subgroup advantages and intergroup advantages are estimated, and the final advantage value is obtained by fusion to optimize the GRPO objective function. Through hierarchical sampling and double advantage estimation mechanism, the method explicitly decouples and fuses conflicting goals, enabling the model to directly generate high-quality creativity without complex iterations during reasoning, achieving efficient and balanced scientific creativity generation.

The invention relates to the technical field of intelligent sports equipment management, and discloses a sports fitness equipment management method based on an artificial intelligence algorithm. According to the method, a static description text and a dynamic use log of equipment are fused to generate a mixed information stream; mode slicing is carried out on the equipment, and structural feature slices and functional feature slices of the equipment are separated out; respectively mining a static topological relation network and capturing a dynamic behavior track sequence, and carrying out space-time alignment to form a joint representation vector; a relational graph model with the equipment as the center is constructed, nodes are equipment entities, and edges comprise static and dynamic association; and traversing edges in the model, identifying and aggregating edge clusters with the same association mode, and abstracting each edge cluster into a management dimension, thereby automatically constructing a multi-dimensional management framework. According to the method, the management dimension is automatically found from the multi-source data, and the intelligent level of management is improved.

The utility model relates to the technical field of headphones, in particular to a hanging piece and an earphone. The hanging piece comprises a connecting part and a hanging part, the connecting part is suitable for being connected to the earphone, the hanging part is detachably connected to the connecting part, clearance fit is formed between the hanging part and the connecting part, so that the hanging part can rotate around the axis of the connecting part, and the hanging part is suitable for hanging accessories. The earphone comprises the above hanging piece. Through the hanging piece, the ornament can be hung on the earphone, and the personalized design of the earphone is improved.

This utility model relates to the field of electronic display module technology, and specifically discloses an anti-leakage structure for Mylar light leakage at the IR hole. It includes a CG or TP, an LCD liquid crystal display, a POL polarizer, a BL backlight, and a frame, assembled sequentially. It also includes a backlight FPC electrically connected to the BL backlight and frame. A Mylar is provided between the BL backlight and frame and the IR hole. A release film is provided with the Mylar, which is recessed 0.2mm inward relative to the side of the Mylar facing the IR hole, causing the side of the Mylar facing the IR hole to protrude 0.2mm. A seam is provided along the bend of the Mylar corresponding to the BL backlight and frame, and the seam is cut along the bending trajectory of the BL backlight and frame. This device effectively solves the light leakage problem at the IR hole of the display module, reducing the light leakage ratio from 3.5% in the traditional design to 0.5%. It also improves the product yield of the automated lamination process and helps to narrow and reduce the overall bezel size, enhancing product novelty and helping to capture new markets.

The utility model provides a kind of adjustable fruit block device for fruit can processing, including support platform, fruit placement cylinder, cutting cylinder and cutting knife cylinder, bending frame is installed on the support platform upper end by bolt, hydraulic rod and control motor are installed on the bending frame upper end, rotating plate is installed by flange and bolt on the control motor shaft end, the left and right sides of rotating plate are fixed with movable baffle, the design solves the above background technology device and the defect problem of single function, horizontal cutting loss or unadjustable in prior art fruit block device, the utility model is combined design by longitudinal cutting blade and horizontal synchronous cutting line structure, while completing longitudinal slitting, fruit strip can be cut off immediately by innovative rotating horizontal synchronous cutting line group, and the size of cutting fruit block is adjusted with the speed of rotating horizontal synchronous cutting line group, novelty is high, and practicality is strong.