Abstract: This invention discloses a medicinal composition includes a non-coding RNA molecule and an antibody targeting a tumor antigen for preventing and/or treating cancer. This invention uses the synergistic combination of a non-coding RNA molecule or its functional variant or homologue, and an antibody targeting a tumor antigen to prevent and/or treat cancer, thereby providing a novel and effective method in preventing and/or treating various cancers.

Abstract: The present disclosure relates to methods for increasing observed editing rates in the surviving bacteria cells. The compositions and methods presented herein in combination lead to a phenomenon of “edit or die.” Although less cells survive plating and editing, a large percentage of cells that do survive are multiple editors. In one experiment it was found that if a cell survives transformation, plating, and editing, 75% of the surviving cells are multiple editors; that is, 75% of the surviving cells were simultaneously edited with edits at two or more different locations within the bacterial genome.

Abstract: A monolithic metal-organic framework (MOF) composite body is disclosed, comprising: MOF crystallites adhered to each other via a binder comprising MOF; and at least 0.15 vol % nanoparticles encapsulated in the MOF body. The nanoparticles have an average particle size corresponding to an average particle diameter in the range 3-200 nm. The nanoparticles may have photocatalytic activity. The MOF composite body is of use for treating water containing an organic dye, the photocatalytic reaction supported by the photocatalytic nanoparticles being a degradation reaction of the organic dye.

Abstract: A method for restoration of a kinetic event using video. The method includes obtaining video involving the kinetic event including a plurality of frames. An absolute location of a frame of the plurality of frames is determined. Movement of a feature point cloud corresponding to an object in motion in the plurality of frames is analyzed. A 3D object model with substantially similar dimensions to the object in motion is selected. The 3D object model is displayed emulating the analysed movement on the 3D map based on the absolute location.

Abstract: A method for detecting and labeling a target object in a 2D image includes receiving a plurality of 2D images from a visual sensor, manually marking points of the target object on each of the 2D images, generating from the 2D images a 3D world coordinate system of the environment surrounding the target object, mapping each of the marked points on the 2D images to the 3D world coordinate system using a simultaneous localization and mapping (SLAM) engine, automatically generating a 3D bounding box covering all the marked points mapped to the 3D world coordinate system, mapping the 3D bounding box to each of the 2D images, generating a label for the target object on each of the 2D images using a machine learning object detection model, and training the machine learning object detection model based on the generated label for the target object.

Abstract: The present disclosure provides a signal processing apparatus and a signal processing method, the signal processing apparatus includes: a preprocessing unit configured to generate a joint matrix according to channel matrixes of subcarriers, and perform a parallel-to-serial conversion on QAM signals of the subcarriers to obtain a serial QAM signal; a judgment unit configured to determine a constraint relationship of a constellation point in each element according to a determining result obtained by determining that whether the constellation point is to be extended in a constellation diagram; a processing unit configured to establish a convex optimization model according to the joint matrix, the serial QAM signal and the determining result, and determine a joint time-domain signal of antenna channels according to the constraint relationship of the constellation point and the convex optimization model; and a conversion unit configured to perform a serial-to-parallel conversion on the joint time-domain signal.

Abstract: The present disclosure provides automated multi-module instrumentation and automated methods for performing recursive editing of live cells with curing of editing vectors from prior rounds of editing.

Abstract: The present disclosure provides compositions of matter, methods and instruments for editing nucleic acids in live yeast cells.

Abstract: A novel analytical system and method to analyze complex carbohydrates such as human milk oligosaccharides by low-temperature High-Performance Anion Exchange Chromatography with Pulsed Amperometric Detection and High-resolution Mass Spectrometry (HPAE-PAD-MS). The analytical system controls the temperature of the column, electrochemical detector, and ion removal device at or below 15° C. The HPAE-PAD workflow with high-resolution mass spectrometry provides useful molecular structure information. It facilitates the detection of milk oligosaccharides, particularly unknown structures, without the use of analytical standards.

Abstract: An apparatus to detect optical flatness of an OLED display layer includes a light-emitting assembly, a light-receiving assembly, and an image processor. The light-emitting assembly includes a light source and a first enhancement element. The light source emits reference light through the first enhancement element. The first enhancement element enhances brightness of the reference light and guides the enhanced reference light to a display layer of a display device being detected. The light-receiving assembly receives light reflected by the display layer according to the reference light and generates an image thereof. The image processor receives the image and obtains a result of detection as to surface flatness of the display layer according to the image.

Abstract: The present disclosure provides compositions of matter, methods, modules and automated multi-module instrumentation for performing editing of live cells followed by curing of editing and engine vectors from prior rounds of editing, followed by curing of the curing vector.

Abstract: The present disclosure provides automated multi-module instrumentation and automated methods for performing recursive editing of live cells with curing of editing vectors from prior rounds of editing.

Abstract: The present disclosure relates to methods, compositions, and automated multi-module cell processing instruments for modulation of gene utilizing nuclease-mediated systems, and in particular, inactive (“dead”) nuclease-mediated CRISPR interference (CRISPRi) and CRISPR activation (CRISPRa) systems.

Abstract: The present disclosure provides compositions and methods to increase the percentage of edited cells in a cell population when employing nucleic-acid guided editing, as well as automated multi-module instruments for performing these methods. Specifically, the disclosure relates to methods, compositions, modules and automated multi-module cell processing instruments that increase the efficiency of nucleic acid-guided editing in a cell population using a nucleic acid nuclease (i.e., an RNA-guided nuclease or “RGN”)/single-strand binding protein (“SSB”) fusion system. The system leverages a single-strand binding protein (SSP) and single-strand DNA annealing protein (“SSAP”) interactions to drive enhanced recruitment.

Abstract: A mirror therapy device includes a first positioning assembly, a second positioning assembly and a transmission assembly connecting the first and second positioning assemblies. The first and second positioning assemblies are arranged in opposition to each other in such a manner that both are able to reciprocate. The first positioning assembly is configured for positioning of a healthy limb of a patient, and the second positioning assembly is configured for positioning of an affected limb of the patient. The transmission assembly is configured for power transmission between the first and second positioning assemblies so that the second positioning assembly moves in synchronization with the first positioning assembly under the action of the transmission assembly. A mirror therapy system includes the mirror therapy device and a display device.

Abstract: Aspects of the invention include a computer-implemented method that receives, by a processor, an ensemble decision tree and generates, by the processor, native code from the ensemble decision tree. The method compiles, by the processor, the native code into machine language and scores, by the processor, the execution time of the native code. The method dynamically reoptimizes, by the processor, portions of the native code corresponding to the most traversed portion of the ensemble decision tree.

Abstract: The present disclosure provides compositions of matter, methods and instruments for editing nucleic acids in live yeast cells.

Abstract: The present disclosure provides compositions and methods to increase the percentage of edited cells in a cell population when employing nucleic-acid guided editing, as well as automated multi-module instruments for performing these methods. Specifically, the disclosure relates to methods, compositions, modules and automated multi-module cell processing instruments that increase the efficiency of nucleic acid-guided editing in a cell population using a nucleic acid nuclease (i.e., an RNA-guided nuclease or “RGN”)/single-strand binding protein (“SSB”) fusion system. The system leverages a single-strand binding protein (SSP) and single-strand DNA annealing protein (“SSAP”) interactions to drive enhanced recruitment.

Abstract: A method, a computing system and a computer program product for collecting and labelling images includes capturing a video of an object with a camera. A movement trace of a pointer is recorded that outlines the object while capturing the video of the object. Further included is generating a labeled image based at least on the captured video of the object and the recorded movement trace of the pointer. The labeled image includes the object and a line that surrounds the object.

Abstract: A method for detecting and labeling a target object in a 2D image includes receiving a plurality of 2D images from a visual sensor, manually marking points of the target object on each of the 2D images, generating from the 2D images a 3D world coordinate system of the environment surrounding the target object, mapping each of the marked points on the 2D images to the 3D world coordinate system using a simultaneous localization and mapping (SLAM) engine, automatically generating a 3D bounding box covering all the marked points mapped to the 3D world coordinate system, mapping the 3D bounding box to each of the 2D images, generating a label for the target object on each of the 2D images using a machine learning object detection model, and training the machine learning object detection model based on the generated label for the target object.