Abstract: This invention relates to the delivery of heterologous peptides or proteins such as therapeutic peptides, therapeutic proteins or antigens to mucosal sites using vesicles derived from the outer membrane of commensal bacteria, recombinant bacteria capable of producing such vesicles, and methods for the production of such vesicles. The invention further relates to an inducible expression system for use in recombinant bacteria.

Abstract: The present disclosure relates to a catalyst for ammonia decomposition, a manufacturing method therefor, and a method for producing hydrogen using the same. More particularly, the present disclosure relates to a catalyst for ammonia decomposition, a manufacturing method therefor, and a method for producing hydrogen using the same, in which by manufacturing a catalyst for decomposition of ammonia using a solvothermal synthesis method to which alcohol is applied, an ammonia conversion rate can be improved due to excellent catalytic activity in an ammonia decomposition reaction, and hydrogen can be efficiently produced from ammonia due to long-term stability even at a high temperature and for long periods of time.

Abstract: In an approach to CRAI and risk framework for manufacturing applications, a computer-implemented method for causal effect prediction includes identifying, by one or more computer processors, an intervention, where the intervention is selected from the group consisting of threats, failures, corrections, and relevant outputs; collecting, by the one or more computer processors, process dependency data; creating, by the one or more computer processors, an intervention model; combining, by the one or more computer processors, the process dependency data and the intervention model to create a combined process dependency graph; training, by the one or more computer processors, a causal relational artificial intelligence (CRAI) model; and determining, by the one or more computer processors, an estimate of an intervention efficacy.

Abstract: A steerable drilling device has an outer tube extending along a longitudinal axis; a drill bit joint inserted into said outer tube, a lower end of said drill bit joint extending out of a lower end of said outer tube for connection to a drill bit; a joint drive mechanism, provided in said outer tube and configured to drive said drill bit joint to swing relative to the longitudinal axis; and a lower connection mechanism. The lower connection mechanism has a connection body connected to said joint drive mechanism in such a manner that said joint drive mechanism is non-rotatable with respect to said connection body, a first centralizer arranged between said connection body and said outer tube, a circuit system arranged in said connection body and configured to provide an electrical signal to said joint driving mechanism, and an attitude sensor arranged in said connection body.

Abstract: The disclosure provides, in various embodiments, fusion proteins comprising a DNA-binding domain, a DNMT3A-binding domain, and a H3K4me0; and polynucleotides and vectors encoding one or more of the fusion proteins. The disclosure also provides, in various embodiments, gene-delivery systems, cells, compositions (e.g., pharmaceutical compositions) and kits comprising one or more of the fusion proteins polynucleotides, or vectors; methods of epigenetically modifying a genomic locus in a cell; and methods of treating a subject (e.g., a human) in need thereof.

Abstract: The present disclosure belongs to the field of defect detections and discloses a method for constructing a defect detection model, a method for detecting a defect and a related apparatus, obtaining an initial training image, and adding a simulated anomaly to the initial training image to obtain a simulated anomaly training image; training a preset defect recognition model according to the initial training image and the simulated anomaly training image to obtain defect position information and mask prompt information; training a preset defect segmentation model according to the defect position information and the mask prompt information; and fusing the trained defect recognition model and defect segmentation model to obtain a defect detection model; the defect recognition model includes a teacher network branch, a student network branch and an autoencoder network branch; and an output difference between the teacher network branch and the student network branch is the defect position information.

Abstract: A video encoding/decoding method and device according to the present invention may: determine a reference area for the intra prediction of the current block; derive the intra prediction mode of the current block; and decode the current block on the basis of the reference area and the intra prediction mode.

Abstract: Disclosed are a method of transmitting image data having a hybrid resolution and a method of generating a hybrid-resolution image. A main region of an original image is transmitted as a high-resolution image and the remaining regions are transmitted as a low-resolution background image. Accordingly, an amount of data to be transmitted is able to be reduced.

Abstract: Disclosed is a disinfection robot capable of autonomous driving and recognition of a disinfection target. The disinfection robot includes: a recognition unit configured to generate recognition information by recognizing a surrounding environment of the disinfection robot; a movement unit configured to move a position of the disinfection robot; a light source unit configured to emit a light of a predetermined wavelength area for disinfection; an injection unit configured to inject a fluid for disinfection; and a control unit configured to move the disinfection robot through the movement unit based on the recognition information, wherein the control unit is configured to identify a disinfection target from the recognition information and control at least one of the light source unit and the injection unit to perform disinfection to at least one of the surrounding environment of the disinfection robot and the disinfection target.

Abstract: The invention provides for delivery, engineering and optimization of systems, methods, and compositions for manipulation of sequences and/or activities of target sequences. Provided are delivery systems and tissues or organ which are targeted as sites for delivery. Also provided are vectors and vector systems some of which encode one or more components of a CRISPR complex, as well as methods for the design and use of such vectors. Also provided are methods of directing CRISPR complex formation in eukaryotic cells to ensure enhanced specificity for target recognition and avoidance of toxicity and to edit or modify a target site in a genomic locus of interest to alter or improve the status of a disease or a condition.

Abstract: Embodiments generally relate to a method of assessing the hearing of a patient using functional near-infrared spectroscopy (fNIRS). The method comprises receiving at least one response signal from an optode placed on a scalp of the patient, the response signal comprising fNIRS data generated by the optode and relating to an aural stimulation received by the patient; comparing at least one parameter of the at least one response signal to a predetermined parameter value; and determining an auditory response of a patient based on the at least one parameter of the at least one response signal.

Abstract: System, methods, and other embodiments described herein relate to NODE learned tire models. In one embodiment, a method includes calculating estimated tire forces based on vehicle measurements; solving a second order differential equation in a repetitive manner until an error calculation based on a tire force function and the estimated tire forces reaches a minimum value, by: using a first predictive model to provide one or more inflection points and initial conditions based on the vehicle measurements, using a second and third predictive model to act as, respectively, exponents to a positive and a negative exponential equation based on the one or more inflection points, the initial conditions, and the vehicle measurements, and integrating the exponential equations to obtain the tire force function; and applying the tire force function to new vehicle measurements to estimate current tire forces.

Abstract: The disclosure discloses a point-of-interest recommendation method based on a temporal knowledge graph. Based on the historical behavior trajectory of the user and multimodal information, the disclosure constructs a dynamic temporal knowledge graph and a static group knowledge graph, which are used to learn interest preferences of the user that change over time and stable features that do not change over time, respectively. At the same time, the disclosure uses deep learning methods to build a point-of-interest recommendation model, which can extract a point-of-interest fusion feature representation and a user fusion feature representation from the two knowledge graphs in combination with a user review sentiment embedding sequence to accurately predict a point of interest most likely to be visited by the target user at a next moment. The disclosure has the characteristics of high precision and strong scalability, and can provide support for personalized user behavior trajectory prediction.

Abstract: A method of building upstream-and-downstream configuration of sensors includes determining two sets of geographic position data of a target sensor and a candidate sensor, obtaining pollution-associated periods according to pieces of flow field data, the sets of geographic position data and pieces of target sensing data of the target sensor to determine a pollution-associated period, calculating a correlation between target sensing data obtained by the target sensor during the pollution-associated period and candidate sensing data obtained by the candidate sensor during the associated air pollution period to obtain sensor correlations, and determining the target sensor and the candidate sensor having a upstream-and-downstream relationship with the candidate sensor being used as a satellite sensor of the target sensor when a quantity ratio of sensor correlations being larger than or equal to a correlation threshold is larger than or equal to a default ratio.

Abstract: A computer-implemented method comprises sensing an environment of the ego-agent that includes at least one other agent. The method predicts possible behaviors of the at least one other agent based on the sensed environment, and plans trajectories of the ego-agent for each possible behavior of the at least one other agent to generate a set of planned trajectories. The method proceeds with determining an actual trajectory of the ego-agent, and comparing the determined actual trajectory of the ego-agent with each of the planned trajectories of the ego-agent and determining a planned trajectory with a largest similarity to the actual trajectory of the ego-agent. Subsequently, a perceived situation as perceived by the ego-agent based on a particular predicted possible behavior of the predicted possible behaviors corresponding to the planned trajectory with the largest similarity is determined. The method executes an action in an assistance system based on the determined perceived situation.

Abstract: Disclosed herein are methods of detecting a target nucleic acid sequence, determining the localization of the target nucleic acid sequence, and/or quantifying the number of target nucleic acid sequences in a cell. This method may be used on small target nucleic acid sequences, and may be referred to as Nano-FISH.

Abstract: Compositions and methods related to the synthesis and application of poly(aryl ether)s are generally described.

Abstract: A selenium-chelating pea oligopeptide, a preparation method thereof and use thereof. After the selenium-chelating pea oligopeptide is subjected to digestion treatment in at least one of following three ways, a change rate of selenium content not more than 3% with respect to the selenium content before the digestion treatment: hydrolyzing for 4 hours by a pepsin at a pH value of 2 and a temperature of 37° C.; hydrolyzing for 6 hours by a trypsin at a pH value of 7.5 and a temperature of 37° C.; maintaining the temperature constant at 37° C., firstly hydrolyzing for 4 hours by the pepsin at a pH value of 2, and then continuing to hydrolyze for 6 hours by a trypsin at a pH value of 6.8. The preparation method thereof includes mixing and reacting an aqueous solution of pea oligopeptide and sodium selenite, and then being subjected to alcohol precipitation and drying.

Abstract: The disclosure discloses a strain and method for producing rosmarinic acid, and belongs to the technical field of bioengineering. The disclosure constructs a recombinant cell or a combination of recombinant cells expressing 4-coumarate: CoA ligase, rosmarinic acid synthase, polyphosphate kinase 2-I (PPK2-I) and polyphosphate kinase 2-II (PPK2-II), and utilizes the recombinant cell or the combination of recombinant cells to catalyze Danshensu and caffeic acid for synthesizing rosmarinic acid. The disclosure has good industrial application prospects.