13results about How to "Good correlation" patented technology

The invention belongs to the technical field of coal blending and coking methods, and particularly relates to a coal blending and coking method for directionally regulating and controlling organic sulfur in coal gas. The method comprises the following steps: S1, respectively measuring conventional process indexes of single coking coal; S2, blending coal according to 0-9% of gas-fat coal, 30-44% of 1 / 3 coking coal, 11-16% of fat coal, 30-38% of coking coal and 10-14% of lean coal; s3, calculating the total sulfur of the mixed coal, and predicting the total sulfur of coke and the total organic sulfur in the coal gas by utilizing the prediction model; s4, when the total sulfur of the mixed coal is not changed, adding the low-sulfur gas-fat coal or reducing the proportion of the high-volatile gas-fat coal; s5, carrying out a small coke oven simulation coking test on the optimized blended coal, and determining a final coking coal ratio according to a test result; and S6, crushing the mixed coal sample, and then carrying out coking operation. On the premise of meeting the quality requirement of the high-quality metallurgical coke, the high-sulfur coal resource with a certain price advantage can be scientifically and reasonably matched.

The invention relates to the technical field of wireless communication, and provides a spread spectrum sequence generation method and device, equipment, a medium and a product, and the method comprises the steps: generating a basic sequence, and generating a password sequence or a chaos sequence; performing field extension mapping on the basic sequence to form a base sequence, and performing field extension mapping on the password sequence or the chaos sequence to form a field extension sequence; performing extension field addition operation on the base sequence and the extension field sequence to obtain an extension field addition sequence; and carrying out extension domain transformation on the extension domain addition sequence to obtain a spread spectrum sequence. According to the method, the spread spectrum sequence meeting the requirement can be generated, and the method has good correlation, long periodicity, good randomness and high safety.

The invention discloses a biomarker for diagnosing Alzheimer's disease as well as a screening method and application thereof, relates to the technical field of biomarkers for Alzheimer's disease, and aims to solve the technical problems that the Alzheimer's disease lacks dynamic pathological monitoring indexes and stereoisomeric modification is difficult to systematically detect. According to the invention, the stereoisomeric modification level of peptide fragments KLDLSNVQSK and AKTDHGAEIVYK is used as the core biomarker for the first time, the modification level is remarkably related to the Braak staging of AD, and a detection method and a combined diagnosis model containing the marker are provided. A novel molecular target with high correlation and dynamic monitoring potential is provided for AD, the model diagnosis precision is remarkably improved, and a brand new solution is provided for disease mechanism research and drug development.

The application relates to the technical field of nanobiosensors, and discloses a bimodal nanoprobe for uric acid detection and a preparation method and application thereof. The bimodal nanoprobe is a fluorescence-photothermal bimodal nanoprobe, and is a core-shell structure nanoparticle, which comprises, from the inner layer to the outer layer, a) a fluorescent inner core composed of carbon dots and a silica layer coated outside the carbon dots; b) a manganese dioxide layer coated outside the fluorescent inner core; and c) a molecularly imprinted polymer layer coated outside the manganese dioxide layer. The bimodal nanoprobe in the application integrates a fluorescence signal source (carbon dots), a signal modulation and photothermal unit and a specific recognition layer (a uric acid molecularly imprinted polymer) through ingenious structure design, realizes bimodal sensing of "specific recognition -> MnO2 etching -> fluorescence recovery / photothermal weakening" on UA, and effectively solves the problems of poor selectivity, complicated operation and high cost of traditional methods.

The invention belongs to the technical field of immunodetection, and discloses an E2 sandwich-method rabbit monoclonal antibody mAb9 or an antigen binding fragment thereof as well as a preparation method and application of the E2 sandwich-method rabbit monoclonal antibody mAb9 or the antigen binding fragment thereof. The E2 sandwich method rabbit monoclonal antibody mAb9 or an antigen binding fragment thereof comprises a light chain variable region VL and a heavy chain variable region VH, the light chain variable region VL comprises complementary determining regions LCDR1, LCDR2 and LCDR3, and the heavy chain variable region VH comprises complementary determining regions HCDR1, HCDR2 and HCDR3. The monoclonal antibody can be combined with an E2 compound in a high-specificity mode, is suitable for double-antibody sandwich immunodetection and is applied to an immunodetection kit prepared through double-antibody sandwich ELISA or a chemiluminescence method, a double-antibody sandwich chemiluminescence platform is used for detecting an E2 standard antigen, the detection sensitivity is lower than 10 pg / mL, a clinical sample is detected through a magnetochemiluminescence method, and the detection sensitivity is lower than 10 pg / mL. Within the sample range of 0-15000 pmol / L, the correlation with clinical comparison is good, and clinical management is provided for female health and male health.

The invention relates to the technical field of biology, in particular to a dissociation agent and a kit for progesterone determination. According to the invention, the sample dissociation agent for progesterone detection is obtained through optimized screening, and the sample dissociation agent comprises hydrocortisone, prednisolone and mono (2-ethylhexyl) phthalate (MEHP); when the dissociation agent components act independently or in a combined mode, the sensitivity to sample detection is high, the detection linear range is good, the dissociation agent is well related to a comparison reagent, the dissociation effect is improved remarkably on the whole, progesterone can be better released from corticosteroid binding protein, albumin and sex hormone binding globulin, and the progesterone dissociation agent is suitable for being used for detecting progesterone. The combination of progesterone and a captured antibody is facilitated, and the sensitivity and the accuracy can be effectively improved. Moreover, the reagent can be directly added into reagent components, so that the dissociation process and the immune reaction are carried out at the same time, the immune reaction is simple and efficient, and the reaction efficiency is improved.

The present disclosure relates to an information display method and device, electronic equipment, computer storage medium and computer program product. The method comprises: displaying an information display page; the information display page comprises an information display area; the information display area is used to display a resource pushing component and an information block; the resource pushing component comprises resource pushing information of a target information block; the target information block is an information block in a preset information browsing record that matches a virtual resource; and the resource pushing component is displayed in association with the target information block based on a preset display special effect. The method improves information display efficiency.

This application relates to a method, apparatus, device, and medium for new tag entity recognition of text content. The method includes: retraining a pre-trained model using a training dataset to construct a full-word masking language model task and an NTP task; constructing a candidate entity recognition model based on the retrained model and GlobalPointer; using the candidate entity recognition model to recognize new tags on an information dataset; ranking the recognized new tags to obtain the entity tags with the highest relevance to the article; filtering a manually annotated tag lexicon based on the entity tags to obtain a new tag lexicon; cleaning the new tag lexicon; modifying and expanding the training dataset using the cleaned tag lexicon; training the candidate entity recognition model using the expanded training set; and performing new tag entity recognition on text content based on the trained entity recognition model. This method can improve the accuracy of new tag entity recognition.

This invention relates to a method, apparatus, equipment, and medium for predicting deformation during the assembly of diesel engine connecting rods, belonging to the field of mechanical assembly technology. The method acquires multi-dimensional assembly data during the assembly process of marine diesel engine connecting rods. Based on assembly process knowledge, the multi-dimensional assembly data is weighted to obtain a weighted input vector set. A pre-trained Bayesian network model is used to infer the deformation prediction probability distribution from the weighted input vector set. Statistical analysis is performed on the deformation prediction probability distribution to obtain deformation trend characteristics and distribution dispersion characteristics. Key deformation risk factors are identified based on these characteristics. A diesel engine connecting rod assembly deformation prediction report is generated based on the deformation prediction probability distribution, deformation trend characteristics, distribution dispersion characteristics, and key deformation risk factors. This invention improves the assembly quality and product reliability of marine diesel engine connecting rods.

This invention discloses a mobile phenotypic information acquisition platform and method based on the entire plant growth cycle, belonging to the field of intelligent plant phenotypic detection technology. It includes acquiring image sequences and depth point cloud data of multiple key growth stages of a target plant, and constructing a multi-dimensional phenotypic feature tensor representing the joint information of the plant's three-dimensional morphological structure and color texture through spatiotemporal registration and fusion. The tensor is input into a learnable phenotypic parsing network, and a dynamic phenotypic evolution map is generated by iteratively enhancing the plant organ feature response and suppressing the background feature response. Key phenotypic trait parameter sequences from budding to maturity are extracted, and the growth trend degree and developmental stability scores of each sequence are calculated, sorted, and integrated to form a hierarchical full-cycle phenotypic atlas. This method can achieve multi-dimensional phenotypic information fusion representation, weaken background interference, accurately depict the dynamic evolution process of phenotypic changes, and clearly present the correlation between phenotypic states at each growth stage.

This invention belongs to the field of immunoassay technology, specifically relating to an E2 sandwich rabbit monoclonal antibody mAb28 or its antigen-binding fragment, its preparation method, and its applications. The E2 sandwich rabbit monoclonal antibody mAb28 or its antigen-binding fragment includes a light chain variable region (VL) and a heavy chain variable region (VH). The light chain variable region (VL) includes complementarity-determining regions (LCDR1, LCDR2, and LCDR3), and the heavy chain variable region (VH) includes complementarity-determining regions (HCDR1, HCDR2, and HCDR3). The monoclonal antibody involved in this invention can achieve highly specific binding to the E2 complex, making it suitable for immunoassay in a double-antibody sandwich configuration. When applied to a double-antibody sandwich ELISA or chemiluminescent immunoassay kit, the detection sensitivity can be as low as below 8 pg / mL when detecting the E2 standard antigen using a chemiluminescence platform. When using magnetochemiluminescence to detect clinical samples, this kit exhibits good correlation with clinical comparative data over a wide detection range of 0-15000 pmol / L, providing effective detection support for clinical health management in both women and men.

This invention discloses a method for optimizing a geo-generative engine and intelligent recommendation retrieval ranking based on a large model, relating to the fields of intelligent geographic information processing and artificial intelligence. This invention cleanses, normalizes, and extracts features from user geo-demands to form standardized demand information; it generates contextualized geographic content based on the GeoGeoLM model combined with multidimensional geographic data and cross-modal features; it recalls candidate points through multi-granularity geographic hierarchical indexing, and achieves comprehensive ranking by combining semantic matching, spatial matching, and dynamic weight allocation, followed by diversity-aware re-ranking; it outputs the generated content in association with the ranking results, and iteratively optimizes based on anomaly information and user behavior data. This method can improve the scenario adaptability of geo-content generation and retrieval ranking.

The application belongs to the field of molecular biology and biomedical technology, and particularly discloses a non-small cell lung cancer prognosis marker and a construction method and application of a prognosis model 6 A related gene, including a methylation gene, a demethylation gene and m 6 A binding, effector protein, and the method can accurately and sensitively predict the prognosis of non-small cell lung cancer, and can effectively predict the risk of adverse prognosis of non-small cell lung cancer patients in the early stage, so that doctors can take the most reasonable intervention measures, save the lives of patients in time and improve the prognosis of patients.