Abstract: A method of determining a predicted trajectory of a moving object.

Abstract: Present invention relates to a thin film composite membrane wherein a thin selective layer, having incorporated amphiphilic vesicles, is supported by a microporous substrate. A process of preparing the thin film composite membrane and its use are also disclosed.

Abstract: Compositions and methods related to straining defect doped materials as well as their methods of use in electrical circuits are generally described.

Abstract: Disclosed herein include methods and compositions for nucleic acid synthesis using a terminal deoxynucleotidyl transferase with deoxyribonucleotide trisphosphates each comprising a modified base with a photocleavable carbon chain moiety that enables single incorporations when present.

Abstract: A continual learning method, comprising: obtaining, for each of a plurality of classes, a mean of each of a plurality of features generated by passing a plurality of training samples to a pre-trained convolutional neural network, and a covariance matrix of the plurality of fea-tures, wherein each of the training samples belongs to one of the classes; obtaining extracted features from the pre-trained convolutional neural network for an additional training sample belonging to a class of said classes; generating a centred feature vector using the mean for the class and the extracted features; updating, using the centred feature vector and the covar-iance matrix, the covariance matrix, wherein said updating is performed for diagonal ele-ments of the covariance matrix but not for off-diagonal elements; updating the mean for the class using the extracted features; and outputting, based on the updated mean and updated covariance matrix, weights of a streaming linear discriminant analysis (SLDA) model.

Abstract: According to embodiments of the present invention, a method and system for generating a training dataset for keypoint detection are provided. The system includes an optical marker-based motion capture system to capture markers as 3D trajectories; and video cameras to simultaneously capture sequences of 2D images. Each marker is placed on a bone landmark or keypoint of a subject. The method, performed by a computer in the system, includes projecting each trajectory to each image to determine a 2D location for each marker; interpolating a 3D position therefrom; generating a bounding box around the subject; and generating the training dataset including at least one image, and the determined 2D location of each marker and the bounding box therein. According to further embodiments, a method and system for predicting 3D locations of virtual markers on a marker-less subject using a neural network trained by the generated training dataset are also provided.

Abstract: Disclosed herein is a system for gait training and a method of gait training. The system includes a gait prediction module configured to: using a two-stage machine learning model, extract gait features from EEG signals acquired from a subject; and determine a predicted gait based on the gait features, wherein the two-stage machine learning model includes multiple first stage blocks and multiple second stage blocks, the first stage blocks and the second stage blocks being trained based on different gait data obtained solely from the subject at different time points, wherein at least one of the second stage blocks is a feature extractor block, each of the feature extractor block corresponding to respective ones of the first stage blocks.

Abstract: The present disclosure relates to computer-implemented methods for automatically controlling a machine includes: receiving data generated using at least one sensor of a machine; performing one or more prediction tasks on the data using a neural network, wherein the neural network includes at least one parameter tensor having at least one element, and the at least one parameter tensor was over-parameterized during training into a plurality of component tensors; and controlling the machine based on results of the one or more prediction tasks. The present disclosure further relates to a computing system for carrying out the method, a method for generating a machine learned neural network for the method, a data structure, a machine, a mobile agent, a data processing system, and a computer program, machine-readable storage medium, or a data carrier signal.

Abstract: A connection assembly for connecting a bolt to a slab includes a first connection part and a second connection part. The first connection part and the second connection part may be capable of being assembled to the slab in a manner so as to sandwich the slab with a first clamping member of the first connection part and a second clamping member of the second connection part between two opposite surfaces of the slab. The first connection part and the second connection part may be connected in a manner such that a connection between a first hollow-tubular-connecting-structure of the first connection part and a second hollow-tubular-connecting-structure of the second connection part may be within a through-hole in the slab, which extends between the two opposite surfaces of the slab.

Abstract: The present invention relates to a nanoparticulate composition comprising nanoparticles formed from an amphipathic block copolymer comprising a hydrophilic block and a hydrophobic block, where the nanoparticles are provided in the form of micelles, cylindrical worm structures or vesicles and the size of the nanoparticles is from 25 to 500 nm, wherein: the composition is substantially free of heavy metals and compounds comprising sulfur. Also disclosed herein is a method of forming said nanoparticulate composition by polymerization induced self-assembly (PISA) via non-transition-metal catalysed controlled radical polymerization (NTMC-CRP).

Abstract: There is provided a ?-peptido sugar-copolymer having the structure of formula (I) as defined herein, or a stereoisomer, a tautomer, an N-oxide, a hydrate, a solvate, or a salt thereof, or a mixture of the same. There is provided a process to make the ?-peptido sugar-copolymer as defined herein. There are further provided medical applications of the ?-peptido sugar-copolymer as defined herein. In a preferred embodiment, a block-like copolymer poly(amido-D-glucose)-block-poly-?-(L)-homolysine (PDGu-b-PBLK) synthesized via anionic ring-opening polymerization (ROP) demonstrates an antimicrobial efficacy, an enhanced selectivity towards different bacteria, biocompatibility vs. mammalian cells and spontaneous assembly.

Abstract: Electrochemically initiated bioadhesive compositions comprising biocompatible polymers containing derivatives of diazonium, arylsulfonium, or diaryliodonium in general, and to their use in tissue fixation, in particular.

Abstract: There is provided a method of monitoring a powder bed process in additive manufacturing, using at least one processor. The method including: obtaining a first image of a powder bed layer from scanning the powder bed layer in a first scanning direction using a first contact image sensor, the powder bed layer being formed by a powder re-coater arm in the powder bed process and the first contact image sensor being attached to the powder re-coater arm; determining a focus level property of the first image; and detecting non-uniformities in the powder bed layer based on the focus level property of the first image. There is also provided a corresponding system for monitoring a powder bed process.

Abstract: According to embodiments of the present invention, an optical device is provided. The optical device includes a substrate, a semiconductor layer on the substrate, the semiconductor layer having a beam structure that is subjected to a tensile strain, wherein the beam structure includes a plurality of nanostructures, and wherein, for each nanostructure of the plurality of nanostructures, the nanostructure is configured to locally amplify the tensile strain at the nanostructure to define a strain-induced artificial quantum heterostructure for quantum confinement. According to a further embodiment of the present invention, a method of forming an optical device is also provided.

Abstract: Disclosed is a device for measuring a property of a material. The device comprises a base; a sensor, the sensor being in a fixed coupling with the base; an indenter, the indenter being slidably coupled to the base to move relative to the base in an axial direction in response to a first abutment of the indenter with a surface of the material such that the indenter provides a push force to the sensor in the axial direction; and a locking device, the locking device being configured to releasably lock the indenter in a locked state in response to a second abutment of the base with the surface of the material, wherein the indenter in the locked state is prevented from moving relative to the base in the axial direction. Also disclosed is a new method of measuring Young's modulus of a material.

Abstract: There is provided a method of receiving a transmitted signal over a time-varying channel. The method includes: obtaining a received symbol signal in frequency domain based on the transmitted signal; performing a first channel estimation based on the received symbol signal to obtain a plurality of first estimated BEM coefficients; performing a first equalization based on the received symbol signal and the plurality of first estimated BEM coefficients to obtain a plurality of first detected source symbols; and performing one or more rounds of a second channel estimation and a second equalization.

Abstract: In some aspects, a method for object re-identification may include obtaining a first set of images from a first camera, and a second set of images from at least one second camera; determining a first set of features based on the first set of images, the first set of features lying in a first feature space; and determining a second set of features based on the second set of images, the second set of features lying in a second feature space. The method may additionally include determining a first feature projection matrix and a second feature projection matrix that respectively map the first set of features and the second set of features to a shared feature space; and determining a common dictionary based on the shared feature space.

Abstract: According to embodiments of the present invention, an optical device is provided. The optical device includes a substrate, a semiconductor layer on the substrate, the semiconductor layer having a beam structure that is subjected to a tensile strain, wherein the beam structure includes a plurality of nanostructures, and wherein, for each nanostructure of the plurality of nanostructures, the nanostructure is configured to locally amplify the tensile strain at the nanostructure to define a strain-induced artificial quantum heterostructure for quantum confinement. According to a further embodiment of the present invention, a method of forming an optical device is also provided.

Abstract: The present invention provides an antifouling ability-imparting agent that adheres well to a variety of water treatment membranes such as reverse osmosis membranes and imparts excellent antifouling ability to the water treatment membranes.

Abstract: A force sensor for a tendon-actuated mechanism, the force sensor comprising: a body having a through hole for passage of a tendon of the tendon-actuated mechanism therethrough, the body configured to be connected to a part of the tendon-actuated mechanism through which the tendon passes; and a sensor provided on the body to obtain a compression force on the body from the part of the tendon-actuated mechanism through which the tendon passes.