6results about How to "Confirm the accuracy" patented technology

This invention provides an endoplasmic reticulum-targeted single-chain cyclic poly(β-amino ester), its preparation method, and its applications. The structural formula of the endoplasmic reticulum-targeted single-chain cyclic poly(β-amino ester) is as follows. The endoplasmic reticulum-targeted single-chain cyclic poly(β-amino ester) exhibits excellent affinity for DNA, and the complex nanoparticles formed with DNA are uniformly distributed, stable, biodegradable, and biocompatible. The endoplasmic reticulum-targeted single-chain cyclic poly(β-amino ester) and DNA can be efficiently taken up by cells, exhibiting excellent endoplasmic reticulum targeting performance. It can overcome the limitations of gene retention in lysosomes and nuclear internalization of the complex nanoparticles, enabling efficient delivery of DNA and mRNA.

The invention discloses a rice LOCOs02g57520 gene and an application of the rice LOCOs02g57520 gene in regulation and control of male sterility of rice. The nucleotide sequence of the gene is as shown in SEQ ID NO. 1. According to the invention, after the LOCOs02g57520 gene is edited by adopting a CRISPR / Cas9 gene editing technology, the expressed rice plant is male sterility, and the expression property is stable and reliable. Therefore, the gene has a crucial regulation function in pollen and can provide a gene resource for cultivation of a rice male sterile line.

The invention provides a D-pantothenic acid fermentation multi-target dynamic optimization method based on biological-digital twinning, which comprises the following steps: constructing a biological soft sensor through multiple machine learning model algorithms, and combining the constructed biological soft sensor with a neural network. Meanwhile, fermentation process conditions are optimized by applying a particle swarm algorithm and a genetic algorithm, so that the whole fermentation process simulation monitoring under data driving is realized, the problems of insufficient accuracy and poor robustness when a traditional prediction technology is used for processing complex fermentation data are effectively solved, and the predictability and controllability of the fermentation process are improved.

The invention discloses a measuring device based on Valsalva action. The measuring device comprises an expiration pressure test meter, a test board, a plastic cup provided with a bandage, an air suction pipe provided with a first valve and a breather pipe provided with a second valve, the expiration pressure testing meter is vertically fixed on the testing table, a patient wears the cup through the bandage to seal the periphery of the mouth and the nose, the patient can breathe through an inner cavity of the cup, the left end of the breather pipe is communicated with the interior of the cup, and the right end of the breather pipe is communicated with an air inlet in the bottom of the expiration pressure testing meter. The lower end of the air suction pipe is communicated with the breather pipe between the cup and the second valve through a tee joint. The device can prevent air leakage, accurately measure inspiration amount, expiration pressure and maintenance time, improve measurement efficiency and provide accurate diagnosis basis for doctors.

The present application belongs to the technical field of molecular medicine, and relates to a probe, a marker combination and a prediction method for non-invasive risk grading of neuroblastoma. The probe UUU-DZ-tFNA can detect UDG in vitro, cells, living bodies and plasma exosomes, and it is proved that UDG in plasma exosomes is closely related to the risk grading of NB. The plasma exosomes of NB patients are collected MYCN Whether to amplify, whether the tumor is metastatic, neuron-specific enolase content, lactate dehydrogenase content and plasma exosome UDG content are integrated, and a NB non-invasive risk grading prediction model is established through a machine learning algorithm. The optimal risk grading model is a neural network model. The area under the receiver operating characteristic curve of the combined model is improved by 5.2% compared with the optimal prediction result of the combined prediction model of the single clinical index, and the sensitivity and specificity are significantly improved. The present application has key clinical values for accurate grading of NB children, individualized treatment plan formulation and efficacy monitoring.

The present invention discloses a device and method for detecting the size and appearance of a universal automobile part. The device part includes a limit guiding module, a detection module, a transfer module and a diversion output module. The limit guiding module includes a push limit mechanism and a guide mechanism. The push limit mechanism is used to push the workpiece to be measured to the material taking station. The guide mechanism is used to limit the orientation of the two sides of the workpiece to be measured. The present invention uses the limit guiding module to guide the tool to be measured before detection, so that the width dimension direction of the tool to be measured is parallel to the detection end in the dimension detection mechanism. At the same time, under the transportation of the transfer module, the workpiece to be measured is transferred to the detection module and the diversion output module in turn, and is detected by the detection module. Under the premise of realizing the fully automatic quality inspection of the workpiece to be measured, the correction step before the quality inspection saves the time required for detection, improves the quality inspection efficiency, and reduces the false detection rate caused by the placement deviation of the workpiece to be measured.