70 results about "Biological structure" patented technology

The invention discloses a bamboo-like structure annularly-reinforced bamboo composite pipe and a preparation method thereof.The bamboo composite pipe sequentially comprises a lining layer, a reinforcing layer, an annular reinforcing layer and an outer protective layer from inside to outside, the thickness of the inner reinforcing layer, the thickness of the middle reinforcing layer and the thickness of the outer reinforcing layer are sequentially reduced, and radial impact resistance of the bamboo composite pipe is reinforced; according to the bamboo composite pipeline, the natural structure of'sparse inside and dense outside 'and'bending without bending' of the bamboo vascular bundle is reproduced, the circumferential stress of the pipeline can be effectively and gradually transmitted to the outer layer from the inner layer of the pipeline wall in the circumferential bearing process, local cracking caused by stress concentration is avoided, and the circumferential impact resistance and bending resistance of the bamboo composite pipeline can be remarkably improved. The circumferential reinforcing layer imitates the natural structure of bamboo wood, the biological structure characteristic that bamboo joints are periodically distributed in the length direction of bamboo stalks is reproduced, the radial ring stiffness and the deformation resistance of the bamboo composite pipe can be remarkably improved, and the defect that the transverse strength of the bamboo composite pipe is insufficient is overcome.

The invention relates to an early strength concrete material for an expansion joint anchoring area and a preparation method thereof, and relates to the technical field of building materials, the early strength concrete material for the expansion joint anchoring area comprises the following components in parts by mass: gel master batch, coarse aggregate, fine aggregate, silica fume, mineral powder and a polycarboxylic acid water reducer; the gelling master batch is prepared from the following components in parts by mass: tricalcium silicate, anhydrous calcium sulphoaluminate, polyvinyl alcohol, polypropylene fiber and water; the preparation method comprises the steps of gelling master batch preparation, shearing and flaking, and mixing and forming. According to the early-strength concrete material for the expansion joint anchoring area and the preparation method of the early-strength concrete material, the concrete in the anchoring area is modified by using an organic matter as a crystal nucleus, so that a compact and ordered organic-inorganic cross-linked structure with a biomimetic structure is formed, and the early-strength performance and tensile toughness of the concrete are remarkably improved.

An active and passive coupling bionic stubble cutting device based on jaw curves of African beetles relates to the technical field of agricultural machinery, and comprises a power transmission and frame component playing a role in integral supporting and transmission, a plurality of active stubble cutting components and a plurality of passive stubble fixing components are mounted on the power transmission and frame component, and the active stubble cutting components and the passive stubble fixing components are mounted on the power transmission and frame component. The passive stubble fixing component is rotatably mounted at the front end of the power transmission and rack component and passively and positively rotates along the advancing direction of a machine tool, and the active stubble cutting component is mounted at the rear end of the power transmission and rack component and is driven by the power transmission and rack component to reversely rotate; and a composite working area is formed between the active stubble cutting component and the passive stubble fixing component. According to the bionic stubble cutting device, by integrating the advantages of a biological structure, the purposes of greatly improving the stubble cutting operation quality, reducing power consumption and providing technical support for popularization and application of a follow-up sowing operation agricultural technology are achieved.

The invention relates to the technical field of image data processing, in particular to an image segmentation method and system applied to marine plankton. The method comprises the following steps: acquiring an in-situ microscopic image of marine plankton, carrying out binarization processing and connected domain analysis on the in-situ microscopic image, and screening out a biological adhesion block mass to be processed; synchronously extracting the edge contour of the biological adhesion block mass to be processed, and calculating a biological structure integrity score; selecting the candidate segmentation path with the highest biological structure integrity score as an optimal segmentation line; curvature smooth completion is carried out along the optimal segmentation line, and a single biological image is obtained; and inputting the single biological image into a pre-trained classifier to obtain a biological abundance data set. According to the method, high-precision automatic identification and abundance statistics of plankton in a complex marine environment are realized by screening and positioning the adhesion block mass, carrying out adaptive adhesion segmentation and combining multi-dimensional morphological feature classification.

There is provided a bioimaging system for determining a spatial distribution of one or more physical properties within a biological structure, the system comprising: a data input configured to receive a plurality of measurements related to one or more physical fields; and a processing device configured to determine a spatial distribution of one or more physical properties within the biological structure using the plurality of measurements. The processing device forms a discretized full order model of the biological structure, describes a baseline spatial distribution of the biological structure using the model, and determines optimized values of coefficients describing the baseline spatial distribution based on the plurality of measurements. The processing device also forms a hybrid model comprising baseline spatial distribution coefficients and a set of deviation full-order model coefficients describing deviations relative to the baseline spatial distribution, determines optimized values for the baseline spatial distribution coefficients and the deviation full-order model coefficients of the hybrid model, and determining a spatial distribution of one or more physical properties within the biological structure using the optimized values of the coefficients.

Methods and systems for characterizing a biological structure including: obtaining image data for the biological structure using an imaging system; constructing a volumetric dataset of the biological structure based on the image data; determining at least one of a plurality of sections along a plane or curve within the volumetric dataset; and characterizing, using a trained algorithm and based on at least one of the plurality of sections, the biological structure for potential tissue type or disease state.

This invention discloses a microscale biomimetic toughening additive manufacturing method for shell-like features. To address the current difficulty in achieving a balance between strength and toughness in laser additive manufacturing of metal components for the aerospace field, this invention draws inspiration from the "brick-and-mortar" biological structure of the nacreous layer of a shell. It employs a method of continuous laser layer-by-layer melting and forming / ultrafast laser interlayer micro-region precise toughening to design and construct a biomimetic toughening material with spatial overlap of "soft" and "hard" regions, thereby achieving a synergistic improvement in the strength and toughness of laser additive manufacturing of metal components.

A histotripsy therapy system configured for the treatment of tissue is provided, which may include any number of features. Provided herein are systems and methods that provide efficacious non-invasive and minimally invasive therapeutic, diagnostic and research procedures. Methods of biological tissue modification are also provided. The systems and methods disclosed here are uniquely different in that they aim to target, plan and treat target tissue, and selectively destroy and modify cellular architecture, but with specific intent and treatment parameters specialized for retaining specific target physical biological structures within the cell itself.

A major obstacle in the field of biotherapeutics is the need for platform technologies that enable high bioavailability and long-term therapeutic exposure of biotherapies in localized disease. Traditional approaches result in problematic trade-offs, such as toxicity and off-target side effects. The present disclosure provides compounds comprising follistatin domain 1 (FSD1) of follistatin (FST), which can bind to biological structures, such as the extracellular matrix, via heparan sulfate without the undesired neutralizing effects on the activity of activin A, myostatin, and GDF11, as full-length follistatin does. The present invention relates to fusion or conjugated proteins, compositions thereof, constructs or vectors encoding them, their medical uses, and methods for biotherapeutics.

The invention belongs to the technical field of gene recombination, and particularly relates to a recombinant human III-type triple helix collagen, a recombinant yeast strain for expressing the recombinant human III-type triple helix collagen and a construction method of the recombinant human III-type triple helix collagen. The amino acid sequence of the recombinant human III-type triple-helix collagen is shown as SEQ ID NO. 1, and the recombinant human III-type triple-helix collagen has triple-helix conformation close to a natural biological structure of collagen and has good application value and potential. According to the recombinant yeast strain disclosed by the invention, human-derived III-type collagen and proline hydroxylase are co-expressed in yeast cells without YPS1 protease, and meanwhile, a gene beneficial to vesicle transport and protein folding is transferred, so that hydroxylation of the recombinant collagen can be realized, a natural triple helix conformation is formed, and the recombinant yeast strain can be used for preparing a recombinant collagen product. The degradation problem of the collagen in the expression process can be solved, and the extracellular secretion expression of the triple helix collagen is realized.

The invention belongs to the technical field of gas sensing, and discloses a preparation method of an indium oxide gas-sensitive material based on a bamboo biological template, which comprises the following steps: taking natural bamboo as a biological structure template, introducing an indium source precursor into a template pore channel by a solution impregnation method, drying, and carrying out high-temperature calcination in an air atmosphere. According to the heat treatment process, thermal degradation and removal of the biological template are achieved, decomposition and oxidation of the precursor are synchronously induced, and finally the indium oxide material with the bamboo biological form and the high specific surface area is generated. The obtained material shows high response and recovery speed to nitrogen dioxide gas, the response value exceeds three thousand, meanwhile, precious metal and a traditional chemical preparation method do not need to be used in the preparation process, and the green chemical concept of saving energy and reducing pollution is achieved.

A device for providing a magnetic treatment by evoking muscle contraction by a time-varying magnetic field and providing a RF treatment by heating biological structure. The device includes an applicator having an RF electrode and a magnetic field generating device. The device may also include a main unit, a human machine interface, and a control unit. The control unit adjusts a signal provided to the RF electrode and creates an RF circuit, and also adjusts the signal provided to the magnetic field generating device and creates a magnetic circuit electrically insulated from the RF circuit. The RF circuit may include a power source and a power amplifier, and the magnetic circuit may include an energy storage to supply the magnetic field generating device with electric current.

The invention discloses a structure-enhanced starch-based aerogel capable of improving porosity as well as a preparation method and application thereof, the aerogel comprises enzyme modified starch and natural starch, and the enzyme modified starch is obtained by improving the natural starch by adopting a compound enzyme system composed of multiple amylases. The method comprises the following steps: S1, modifying natural starch through a compound enzyme system to obtain enzyme modified starch; s2, mixing the enzyme modified starch with natural starch in proportion, adding water to form a composite suspension, and performing gelatinization treatment to obtain a gelatinized starch system; and S3, carrying out gelation, freezing and drying treatment on the gelatinized starch system to obtain the aerogel. The aerogel can be applied to thermal insulation materials, adsorption materials, bio-based structural materials or functional porous materials. The molecular structure of the starch is controllably adjusted through the synergistic effect of different enzyme systems, so that the porosity, the structural uniformity and the mechanical stability of the aerogel are remarkably improved on the premise of not introducing a chemical cross-linking agent.

This invention provides a cross-modal translation method, comprising acquiring scRNA-seq data and / or scDNAm data and preprocessing them; performing feature mapping to obtain dimension-aligned low-dimensional potential representations of RNA attributes and / or DNAm attributes; performing cross-modal transformation processing that preserves biological features to obtain low-dimensional features of DNAm attributes and / or RNA attributes; and performing high-dimensional reconstruction processing to obtain scDNAm prediction data and / or scRNA-seq prediction data. The advantages of this invention are that it enables bidirectional cross-modal translation of scRNA-seq and scDNAm, expanding the application scenarios of multi-omics analysis; the cross-modal transformation preserves biological features throughout, ensuring that the generated prediction data closely matches the biological structure of the real data, rather than simply being a numerical fit; and it forms a complete processing link from raw data to prediction data, with the output high-fidelity prediction data directly usable for downstream multi-omics joint analysis and mechanism mining.

The application discloses a preparation method and system of a tendon / ligament-bone junction special trabecular zone biomechanical bidirectional biomimetic bone biological structure, and belongs to the technical field of bone biological material preparation, and comprises the following steps: extracting morphological information of trabeculae and mechanical parameters of a tendon / ligament-bone junction based on a target region of a human specimen slice; determining a biomimetic structure based on the morphological information of the trabeculae; determining a biological material for preparing the biomimetic structure based on the mechanical parameters of the tendon / ligament-bone junction; preparing the biomimetic bone biological structure based on the biomimetic structure and the bone biological material; and performing modification treatment on a surface of the biomimetic bone biological structure to obtain a final biomimetic bone biological structure. The application combines the construction information of the trabeculae of the tendon / ligament-bone junction with 3D printing technology, realizes the structure and material collaborative biomimetic of an implant when the tendon / ligament-bone junction is reconstructed, and provides important technical support for researching and developing a bone biological structure with better biocompatibility for the tendon / ligament-bone junction.

The application belongs to the technical field of antibacterial medicine, and particularly relates to a polypyridine ruthenium complex with a double-amide biological structure modification and a preparation method and application thereof. The application provides a double-amide structure ruthenium (II) complex, the complex has excellent antibacterial activity on staphylococcus aureus and MRSA, has a unique action mechanism, is not easy to induce drug resistance, has high in-vivo safety, and can be used for treating drug-resistant bacterial infection.

The application discloses a kind of based on graph neural network's protein and ligand between the prediction method of pose of docking pose, first, obtain the biological information sample set of protein-ligand complex, sample set includes sample data and sample annotation data;Second, construct the pose generation model of docking pose based on graph neural network and the pose evaluation model of docking pose based on multi-view, further adjust the parameter of model, the sample data is handled by the structure generation model obtained by training, obtain the pose of protein ligand and actually output;Finally, the stability of output result is evaluated using mainstream pose docking structure evaluation index.This application directly uses the biological structure information of ligand protein to generate the optimal docking pose structure, and evaluates the generation result through multi-angle comprehensive evaluation model, so as to improve the accuracy of ligand-protein pose structure docking prediction, and improve the effectiveness of ligand-protein pose structure docking prediction result evaluation.

The invention belongs to the technical field of metal composite materials. The invention provides a light composite metal material. The light composite metal material comprises a bone-meat reinforcer and a skeleton reinforcer, the skeleton reinforcing body is provided with a bionic structure, and the bionic structure is a dandelion-imitating structure or a dandelion-imitating honeycomb combined structure. According to the invention, a natural biological structure is taken as a bionic object, and the strength and toughness of the light composite metal material are synergistically improved by introducing a dandelion seed umbrella-shaped structure and a honeycomb spatial layout of dandelion group arrangement. The density of the lightweight composite material prepared by the preparation method can reach 99.9%, the room-temperature tensile yield strength can reach 657 MPa, and the after-fracture uniform elongation can reach 30%. In addition, the light composite metal material has the advantages of low cost, high yield and the like.

The invention relates to the field of mechanical surface engineering and bionic design, in particular to a bionic tooth surface microstructure concrete design method. The method comprises the following steps: acquiring point cloud data of a shell body surface, and constructing a shell body surface three-dimensional model by using the point cloud data; constructing a bionic coupling element matrix by using the shell body surface three-dimensional model; constructing an equal-arc-length parameter sequence and a gray mapping matrix based on the bionic coupling element matrix, and constructing a structural feature matrix by using the equal-arc-length parameter sequence and the gray mapping matrix; and establishing a tooth surface geometric model of the target gear, and mapping the structural feature matrix to a parameter domain of the tooth surface geometric model to obtain initial micro-texture geometric distribution. And constructing a morphological design parameter matrix, and regulating and controlling the initial micro-texture geometric distribution by using the morphological design parameter matrix to obtain a bionic tooth surface micro-texture model. The problem that in the prior art, a quantitative conversion method from biological structure geometric characteristics to engineering tooth surface micro-texture design parameters is lacked is solved.

The invention discloses a bone biological structure preparation method and system for mechanical biology bidirectional bionic of a special bone trabecula area at a tendon / ligament bone joint, and belongs to the technical field of bone biological material preparation, and the method comprises the following steps: extracting morphological information of a bone trabecula and mechanical parameters of the tendon / ligament bone joint based on a human body specimen slice of a target area; determining a bionic structure based on the morphological information of the bone trabecula; determining a biological material for preparing a bionic structure based on mechanical parameters of the tendon / ligament bone joint; preparing a bionic bone biological structure based on the bionic structure and the bone biological material; and carrying out modification treatment on the surface of the bionic bone biological structure to obtain the final bionic bone biological structure. The construction information of the bone trabecula at the tendon / ligament bone joint is combined with the 3D printing technology, so that when the tendon / ligament bone joint is reconstructed, the structure and material of the implant are synergistically bionic, and important technical support is provided for research and development of a bone biological structure with better biocompatibility at the tendon / ligament bone joint.

When a three-dimensional structure is constructed in advance from a sample before section creation and gene expression information measured by the section is associated with the three-dimensional structure, it was found that there is a problem where the gene information cannot be accurately associated with the three-dimensional structure created in advance because deformation from the three-dimensional structure exists due to section creation processing. It has been found that gene expression data is associated in an accurate three-dimensional structure by aligning section image data and three-dimensional image data, adjusting the section image data in accordance with the three-dimensional image data on the basis of the alignment, and adjusting the gene expression data in accordance with the section image data.

The present disclosure describes electrically stimulating biological systems using meshes, wherein the mesh comprises nanoscale wires and / or nanoelectronics. These may be embedded as a scaffold in biological structures, such as tissues, organoids, organs, organisms, and the like. These may be connectable to an external device to determine a property of the scaffold and / or to apply a stimulus to the biological structure. Certain embodiments are Al-driven systems designed for applications such as drug screening, stem cell therapy, or the like. In addition, some embodiments are directed to predictive models that can be used to predict and / or control the biological structure. For example, certain cells may be caused to mature more quickly, and / or the functionality of the biological structure may be enhanced or inhibited by using such models to apply suitable electrical stimuli to the biological structure, and / or portions of the biological structure.

Devices and methods that can detect and control an individual polymer in a mixture is acted upon by another compound, for example, an enzyme, in a nanopore are provided. The devices and methods also determine (˜>50 Hz) the nucleotide base sequence of a polynucleotide under feedback control or using signals generated by the interactions between the polynucleotide and the nanopore. The invention is of particular use in the fields of molecular biology, structural biology, cell biology, molecular switches, molecular circuits, and molecular computational devices, and the manufacture thereof.

The present application particularly relates to a lizard scale structure extraction method based on deep learning and geometric topology, aiming to solve the problems of large performance consumption, weak generalization ability and lack of end-to-end automatic process in traditional methods. The DETR architecture is used to automatically locate the foot region from the lizard image, the BiRefNet bidirectional reference network is used to simultaneously reconstruct the lizard scale structure and the foot body, the Douglas-Peucker algorithm is used for multi-scale polygon approximation to initialize the key points, and the iterative smoothing mechanism of local duty cycle classification is introduced to separate the main body and the adhesion impurities, the topological potential field map is constructed by mask difference, the local maximum value is extracted as the seed point, the watershed algorithm is applied to realize the optimal segmentation of the adhesion scale individual, the false detection points are removed through the area stability filtering and secondary clustering, and the geometric feature modeling is carried out. The automatic, high-precision extraction and quantitative analysis of extremely fine biological structures are realized.

The application discloses a high-strength and high-toughness fiber reinforced composite material based on biological structure combined bionics and a preparation method thereof, and comprises a component main body which is a cross-layer structure of bionic snail shell; the component main body comprises an outer layer, a middle layer and an inner layer which are sequentially arranged; the fiber laying mode of the outer layer imitates the brick clay structure of a nacre layer; the fiber laying mode of the middle layer imitates the cross-layer structure of the snail shell; and the fiber laying mode of the inner layer imitates the spiral structure of a mantis shrimp chela rod. According to the force state difference of different positions in the stress process of the fiber reinforced composite material, the excellent natural structures such as shells, snail shells and mantis shrimp chela rods are combined and bionized, so that the mechanical properties of the fiber reinforced composite material are effectively improved, and the regional design is customized to endow the fiber reinforced composite material with the ability of adapting to complex and severe environments.

Examples described herein provide a computer-implemented method that includes receiving, by an MTL model, a laparoscopic image of a first organ; and reproducing, by the MTL model, the laparoscopic image such that one or more of a silhouette and surface of a first organ is graphically differentiated from adjacent organs and biological structures; training the landmark head, of the MTL model that has a transformer encoder, the landmark head and a surface head, for predicting the ridges and silhouette of the first organ from the laparoscopic image of the first organ; training the surface head for segmenting the first organ from the adjacent organs and biological structures from the laparoscopic image of the first organ; applying the transformer encoder followed by multi-resolution feature interpolation and stacking, and per-head feature convolutions; and applying a homoscedastic weighting of per-task losses, to balance losses using the predictive uncertainty of each task.

The present disclosure relates to systems and methods for determining consensus positions and labels for a set of annotations associated with an object or region within an image. An annotation processing system can access multiple annotations associated with an image depicting at least a portion of a biological specimen. The annotation processing system can determine a consensus position for the set of annotations located at different positions within the region of the image. At the determined consensus position, a consensus label can be determined for the set of annotations that identify target types of different biological structures. The consensus labels across the different positions can be used to generate ground truth labels for the image. The ground truth labels can be used to train a machine learning model configured to predict different types of biological structures within a digital pathology image.

Exemplary apparatus and method can be provided. For example, using at least one light source first arrangement, it is possible to provide pulses of light to at least one portion of a biological structure. At least one detector second arrangement can be used to detect images from the portion(s) based on the pulses, and provide data based on the detection. With at least one configuration, it is possible prevent and / or reduce a movement of the apparatus within at least one anatomical body (i) is a particular surface of the apparatus, (ii) covers at least one portion of the surface, and / or (iii) extends from the surface. In addition or alternatively, with at least one computer third arrangement, it is possible to receive the data, and control a timing of at least one of activation or deactivation of at least one portion of the first arrangement based on the data.