Abstract: A method and an apparatus for implementing secure multicast in a blockchain network. The method includes: a first blockchain node generates and sends a security group creation message including a security group information structure corresponding to each target blockchain node to be added to a multicast security group, each security group information structure including a public key of a corresponding target blockchain node and ciphertext security group information obtained by encrypting plaintext security group information by using the public key, the plaintext security group information including a security group session key; and a second blockchain node searches, after receiving the security group creation message, the security group creation message for a security group information structure that includes a public key of the second blockchain node, and decrypts ciphertext security group information in the identified security group information structure to obtain the security group session key.

Abstract: The present invention relates to a method for preparing glufosinate or an analogue and an intermediate thereof. The method comprises: a) reacting a compound of formula (II), an alcohol of formula (III) and a compound of formula (V); and b) hydrolyzing the product of the reaction above to obtain glufosinate of formula (IV) or an analogue thereof.

Abstract: A vehicle window assembly and a vehicle are provided in the disclosure. The vehicle window assembly includes multiple light guide strips spaced apart from each other, a vehicle window glass sheet, and a sealing box. The multiple light guide strips are arranged on one side surface of the vehicle window glass sheet, the sealing box is disposed at one side of each of the multiple light guide strips away from the vehicle window glass sheet, the sealing box defines grooves at positions respectively corresponding to the multiple light guide strips, and each of the multiple light guide strips is received in one of the grooves. The multiple light guide strips are received in the sealing box, the sealing box is directly fixed to the vehicle window glass sheet by the fixing member.

Abstract: Disclosed is a method, a computer readable storage medium and an apparatus for processing medical image data. Input medical image data is received at a data processing system, which is an artificial intelligence-based system. An identification process is performed at the data processing system on the input medical image data to identify a volume of interest within which an instance of a predetermined anatomical structure is located. First and second determination processes are performed at the data processing system to determine, respectively, first and second anatomical directions for the instance of the anatomical structure that are defined relative to the coordinate system of the input medical image data. Output data relating to the first and second anatomical directions is output from the data processing system.

Abstract: Provided are a precursor miRNA and application thereof in a tumor treatment. The precursor miRNA from the 5? end to 3? end has a structure presented as formula I: B1 is anti-miRNA-214-5p; B2 is an essentially complementary sequence or a totally complementary sequence to B1, and B2 and C are not complementary; C is a sequence having a stem-loop structure; A1 and A2 are respectively RNA sequences having no or 4-5 bases freely selected bases respectively; the precursor miRNA shown can be processed to form anti-miRNA-214 in a host, and only anti-miRNA-214-5p but not anti-miRNA-214-3p is expressed in the anti-miRNA-214.

Abstract: A method and for quantifying a three-dimensional medical image volume are provided. An embodiment of the method includes: providing a two-dimensional representation image based on the medical image volume; defining a region of interest in the two-dimensional representation image; generating a feature signature for the region of interest; defining a plurality of two-dimensional image patches in the medical image volume; calculating, for each of the image patches, a degree of similarity between the region of interest and the respective image patch on the basis of the feature signature; visualizing the degrees of similarities.

Abstract: The disclosure discloses an energy-saving system for purifying and recycling oxygen from high-temperature oxygen-enriched flue gas, including a water washing mechanism for introducing high-temperature oxygen-enriched flue gas, a compressor set connected with the water washing system through a pipeline, a compressor outlet heat exchanger connected with the compressor set through a pipeline, a gas-liquid separation tank connected with the compressor outlet heat exchanger through a pipeline, a temperature swing adsorption isobaric drying mechanism and a pressure swing adsorption purification mechanism connected with the gas-liquid separation tank through pipelines, a dedusting and filtering mechanism for introducing gas treated by the temperature swing adsorption isobaric drying mechanism and the pressure swing adsorption purification mechanism, and a cooling mechanism for cooling the water washing mechanism and the compressor outlet heat exchanger.

Abstract: A computer-implemented method is for clinical decision support. In an embodiment, the method includes receiving patient data of a target patient; determining, based on the patient data, a number of potential clinical outcomes associated with the target patient; calculating, for each respective potential clinical outcome, a respective probability of being indicated by the patient data; selecting, based on the plurality of probabilities calculated, one or more anamnestic questions from a set of anamnestic questions stored; presenting the one or more anamnestic questions selected to a user via a user interface; receiving one or more answers to the one or more anamnestic questions selected, from the user; and adapting the plurality of probabilities based upon the one or more answers received.

Abstract: Disclosed is a method, a computer readable storage medium and an apparatus for processing medical image data. Input medical image data is received at a data processing system, which is an artificial intelligence-based system. An identification process is performed at the data processing system on the input medical image data to identify a volume of interest within which an instance of a predetermined anatomical structure is located. First and second determination processes are performed at the data processing system to determine, respectively, first and second anatomical directions for the instance of the anatomical structure that are defined relative to the coordinate system of the input medical image data. Output data relating to the first and second anatomical directions is output from the data processing system.

Abstract: The present disclosure provides a method for manufacturing a thin film transistor, a thin film transistor, and a display apparatus. The method for manufacturing a thin film transistor includes: forming a gate layer on a substrate; forming a gate insulating layer on the gate layer; forming an active layer on the gate insulating layer; forming a source/drain layer on the active layer; and performing a plasma bombardment treatment on a surface of the active layer on which the source/drain layer is formed, and controlling the plasma bombardment treatment to be performed at a gas flow rate of 4K sccm to 70K sccm, at a pressure of 600 mTorr to 1200 mTorr, at a power of 4 KW to 12 KW for a treatment time of 10 s to 60 s.

Abstract: The present invention discloses an siRNA that inhibits K-RAS gene expression, and the precursor sequences and applications thereof. The K-RAS siRNA and its precursor sequences provided by the present invention can efficiently inhibit the expression of the K-RAS gene, and in vivo experiments have shown that the K-RAS siRNA has a certain inhibitory effect on tumours highly expressing K-RAS. The precursor of the siRNA of the invention and its vector can form a stable siRNA that functions in a host.

Abstract: A system for object recognition and segmentation from digital images provides an intelligent object recognition and segmentation using one or more multilayer convolutional neural network (CNN) models trained in multiple-stages and in a parallel and distributed manner to improve training speed and efficiency. The training dataset used in each of the multiple training stages for the CNN models are generated, expanded, self-validated from a preceding stage. The trained final CNN models are augmented with post-model filters to enhance prediction accuracy by removing false positive object recognition and segmentation. The system provides improved accuracy to predict object labels to append to unlabeled image blocks in digital images. In one embodiment, the system may be useful for enhancing a digital landmark registry by appending identifying labels on new infrastructure improvements recognized in aerial or satellite land images.

Abstract: A method and for quantifying a three-dimensional medical image volume are provided. An embodiment of the method includes: providing a two-dimensional representation image based on the medical image volume; defining a region of interest in the two-dimensional representation image; generating a feature signature for the region of interest; defining a plurality of two-dimensional image patches in the medical image volume; calculating, for each of the image patches, a degree of similarity between the region of interest and the respective image patch on the basis of the feature signature; visualizing the degrees of similarities.

Abstract: The present disclosure provides a method for manufacturing a thin film transistor, a thin film transistor, and a display apparatus. The method for manufacturing a thin film transistor includes: forming a gate layer on a substrate; forming a gate insulating layer on the gate layer; forming an active layer on the gate insulating layer; forming a source/drain layer on the active layer; and performing a plasma bombardment treatment on a surface of the active layer on which the source/drain layer is formed, and controlling the plasma bombardment treatment to be performed at a gas flow rate of 4K sccm to 70K sccm, at a pressure of 600 mTorr to 1200 mTorr, at a power of 4 KW to 12 KW for a treatment time of 10 s to 60 s.

Abstract: Provided are non-small cell lung cancer markers and the use thereof in diagnosing and monitoring diseases in vitro. The non-small cell lung cancer markers include at least one of 26 selected detectable mature microRNAs existing stably in human serum or plasma. Also provided are probe combinations, a kit and a biochip for detecting the non-small cell lung cancer markers. The invention further provides a method for detecting the said lung cancer markers. The method in the present invention enables extensive detection spectrum, high sensitivity, low cost, convenient sample taking and preservation. The method can be applied in the general survey of disease, solves problems of low specificity and sensitivity encountered with previous single markers, and increases significantly the clinical detection rate of diseases. The methods provide an effective means for diagnosing diseases at an early stage.

Abstract: A system for object recognition and segmentation from digital images provides an intelligent object recognition and segmentation using one or more multilayer convolutional neural network (CNN) models trained in multiple-stages and in a parallel and distributed manner to improve training speed and efficiency. The training dataset used in each of the multiple training stages for the CNN models are generated, expanded, self-validated from a preceding stage. The trained final CNN models are augmented with post-model filters to enhance prediction accuracy by removing false positive object recognition and segmentation. The system provides improved accuracy to predict object labels to append to unlabeled image blocks in digital images. In one embodiment, the system may be useful for enhancing a digital landmark registry by appending identifying labels on new infrastructure improvements recognized in aerial or satellite land images.

Abstract: Provided are a new precursor miRNA and the applications in tumor therapy thereof. The precursor miRNA, from 5?- to 3?-end thereof, has the structure represented by formula (I). B1 is an anti-miRNA and/or siRNA to be expressed; B2 is a sequence substantially or completely complementary to B1, and B2 is not complementary to C; C is a sequence with stem-loop structure; A1 and A2 are independently hydrogen or optionally a RNA sequence consisting of 4 to 5 bases. The precursor miRNA can be processed to form an anti-miRNA and/or siRNA in hosts.

Abstract: A system for object recognition and segmentation from digital images provides an intelligent object recognition and segmentation using one or more multilayer convolutional neural network (CNN) models trained in multiple-stages and in a parallel and distributed manner to improve training speed and efficiency. The training dataset used in each of the multiple training stages for the CNN models are generated, expanded, self-validated from a preceding stage. The trained final CNN models are augmented with post-model filters to enhance prediction accuracy by removing false positive object recognition and segmentation. The system provides improved accuracy to predict object labels to append to unlabeled image blocks in digital images. In one embodiment, the system may be useful for enhancing a digital landmark registry by appending identifying labels on new infrastructure improvements recognized in aerial or satellite land images.

Abstract: Provided is a use of miRNA-214 inhibitor in inhibiting regulatory T cells (Treg cells). The microRNA-214 (miRNA-214) can promote Treg cells, and can assist tumors in immune escape. The experiments demonstrates that the inhibition of miRNA-214 can inhibit the growth of Treg cells, thus inhibiting the growth of tumors. Therefore, miRNA-214 can be used for developing an anti-tumour drug or a drug inhibiting immune response hyperactivity.

Abstract: The present invention discloses an siRNA that inhibits K-RAS gene expression, and the precursor sequences and applications thereof. The K-RAS siRNA and its precursor sequences provided by the present invention can efficiently inhibit the expression of the K-RAS gene, and in vivo experiments have shown that the K-RAS siRNA has a certain inhibitory effect on tumours highly expressing K-RAS. The precursor of the siRNA of the invention and its vector can form a stable siRNA that functions in a host.