Abstract: The present invention relates to new 2,3-dihydro-1H-pyrrolo[3,2-b]pyridine derivatives of formula (I): as sigma ligands having a great affinity for sigma receptors, especially sigma-1 (?1) and/or sigma-2 (?2) receptors, as well as to the process for the preparation thereof, to compositions comprising them, and to their use as medicaments.

Abstract: A method for modulating green character of wine, as well as wine obtainable according to the method also relates to the use of a vine-shoot material as winemaking additive for modulating green character in wine, wherein the vine-shoot material is toasted vine-shoot material. The method includes the steps of providing a vine-shoot material, which is subjected to heating at a predetermined temperature during a period in the range from 30 to 120 minutes; and subjecting a fermentable mixture to fermentation, wherein a determined concentration of the vine-shoot material results from the heating step.

Abstract: A computer-implemented method for generating a 2D or 3D object, including training an autoencoder on a first set of training data to identify a first set of latent variables and generate a first set of output data; training an hourglass predictor on a second set of training data, where the hourglass predictor encoder converts a set of related but different training input data to a second set of latent variables, which decode into a second set of output data of the same type as the first set of output data; and using the hourglass predictor to predict a 2D or 3D object of the same type as the first set of output data based on a 2D or 3D object of the same type as the second set of input data.

Abstract: A training system for an endoscopic procedure, the training system including an endoscope having an image sensor configured to generate images; an image processing device including a housing and a processing circuit in the housing, the processing circuit including a processor and memory, the memory having graphical user interface (GUI) logic and a trained single-pass neural network model, the processor being configured to process the neural network model and the GUI logic to present a GUI; and a physical model including cavities corresponding to interconnected human cavities. The GUI is configured to receive a user input corresponding to a training mode or an exam mode. In the training mode the GUI is configured to present navigation feedback, and in the exam mode the GUI is configured to not present navigation feedback.

Abstract: Disclosed is an image processing device for estimating a position of an endoscope in a model of the human airways using a first machine learning data architecture trained to determine a set of anatomic reference positions, said image processing device comprising a processing unit operationally connectable to an image capturing device of the endoscope, wherein the processing unit is configured to obtain a stream of recorded images; continuously analyse the recorded images of the stream of recorded images using the first machine learning data architecture to determine if an anatomic reference position of a subset of anatomic reference positions, from the set of anatomic reference positions, has been reached; and where it is determined that the anatomic reference position has been reached, update the endoscope position based on the anatomic reference position, and an endoscope system comprising an endoscope and an image processing device, a display unit comprising an image processing device, and a computer progr

Abstract: An image processing device including a housing and a processing circuit in the housing, the processing circuit including a processor and memory, the memory including a neural network model and proximity suppression logic, the neural network model comprising a single-pass neural network model trained with training images corresponding to an endoscopic procedure and defining anatomic references observable in the training images, wherein the neural network model is configured to process images, to detect the anatomic references in the images, and to output a set of anatomic references including identifiers and confidence values representing the likelihoods that the anatomic reference identifiers are correct, and wherein the proximity suppression logic is configured to change the confidence values of the anatomic references in the set of anatomic references based on a prior position of the endoscope to identify an anatomic reference indicative of the current position of the endoscope.

Abstract: Methods and systems are provided for detecting a mental health condition. Structured and unstructured information is analyzed using natural language processing to extract information including clinical data values and medical concepts pertaining to a user. Reference medical information is evaluated using natural language processing to correlate medical data with mental health conditions. A classification for a mental health condition of the user is determined using a machine learning model and based on the extracted information and correlations, wherein the extracted information includes blood analysis for the user. The user is assigned to a segment of users based on the extracted information. A treatment for the mental health condition of the user is indicated based on the classification and the assigned segment of users.

Abstract: A computer-implemented method for generating a corresponding 3D mesh representing a 3D object includes transforming an initial three-dimensional mesh into a planar mesh, wherein each vertex or edge of the planar mesh is a transformation of a vertex or edge from the initial three-dimensional mesh; and sampling the planar mesh to generate a plurality of samples such that each sample comprises a three-dimensional coordinate representing a point in a three-dimensional space derived and/or taken directly from the initial three-dimensional mesh, and a coordinate representing a position of the sample relative to other samples; and generating the sampled matrix based on the plurality of samples; and representing the sampled matrix as a corresponding 3D mesh.

Abstract: A computer-implemented method for generating a 2D or 3D object, including training an autoencoder on a first set of training data to identify a first set of latent variables and generate a first set of output data; training an hourglass predictor on a second set of training data, where the hourglass predictor encoder converts a set of related but different training input data to a second set of latent variables, which decode into a second set of output data of the same type as the first set of output data; and using the hourglass predictor to predict a 2D or 3D object of the same type as the first set of output data based on a 2D or 3D object of the same type as the second set of input data.

Abstract: A computer-implemented method for generating a corresponding 3D mesh representing a 3D object includes transforming an initial three-dimensional mesh into a planar mesh, wherein each vertex or edge of the planar mesh is a transformation of a vertex or edge from the initial three-dimensional mesh; and sampling the planar mesh to generate a plurality of samples such that each sample comprises a three-dimensional coordinate representing a point in a three-dimensional space derived and/or taken directly from the initial three-dimensional mesh, and a coordinate representing a position of the sample relative to other samples; and generating the sampled matrix based on the plurality of samples; and representing the sampled matrix as a corresponding 3D mesh.

Abstract: Hot air drying is an intensive energy consuming process, 5000-8000 kJ per kg of water. More efficient processes produce low drying rates or cannot totally dry the product because they do not integrate the four drying phases, warm up, constant drying, falling drying and aeration and do not handle dripping. To reduce the energy consumption, the exhausted mix of air and vapor is used as working fluid to drive each phase, and the dripping is collected before it goes back to the product. This fluid is compressed inside of a heat-exchanger to heat the product; however, the mix proportion, vapor and air, changes on each phase. For warm up phase, the working fluid is either hot air or condensed water; in constant phase, it is mostly vapor; in falling phase, it changes from vapor to air; and for aeration, it is air. Inlet and outlet valves control these proportions.

Abstract: Methods and systems are provided for detecting a mental health condition. Structured and unstructured information is analyzed using natural language processing to extract information including clinical data values and medical concepts pertaining to a user. Reference medical information is evaluated using natural language processing to correlate medical data with mental health conditions. A classification for a mental health condition of the user is determined using a machine learning model and based on the extracted information and correlations, wherein the extracted information includes blood analysis for the user. The user is assigned to a segment of users based on the extracted information. A treatment for the mental health condition of the user is indicated based on the classification and the assigned segment of users.

Abstract: A computer-implemented method for generating a corresponding 3D mesh representing a 3D object, includes transforming an initial three-dimensional mesh into a planar mesh, wherein each vertex or edge of the planar mesh is a transformation of a vertex or edge from the initial three-dimensional mesh; and sampling the planar mesh to generate a plurality of samples such that each sample comprises a three-dimensional coordinate representing a point in a three-dimensional space derived and/or taken directly from the initial three-dimensional mesh, and a coordinate representing a position of the sample relative to other samples; and generating the sampled matrix based on the plurality of samples; and representing the sampled matrix as a corresponding 3D mesh.

Abstract: Hot air drying is an intensive energy consuming process, 5000-8000 kJ per kg of water. More efficient processes produce low drying rates or cannot totally dry the product because they do not integrate the four drying phases, warm up, constant drying, falling drying and aeration and do not handle dripping. To reduce the energy consumption, the exhausted mix of air and vapor is used as working fluid to drive each phase, and the dripping is collected before it goes back to the product. This fluid is compressed inside of a heat-exchanger to heat the product; however, the mix proportion, vapor and air, changes on each phase. For warm up phase, the working fluid is either hot air or condensed water; in constant phase, it is mostly vapor; in falling phase, it changes from vapor to air; and for aeration, it is air. Inlet and outlet valves control these proportions.

Abstract: Proposed invention refers to a method for anonymously associating health monitoring device measurements to a user ID. The invention comprises the steps of: registering in a server a user associated with an ID and a first set of metadata; registering a health monitoring device associated to a second ID and a second set of metadata; then, sending through a first communication channel the ID associated to the user and the first set of metadata to the server by a communication device; taking a measurement of the user by the health monitoring device and sending through a second communication channel said measurement associated to the second ID and the second set of metadata to the server; comparing the metadata stored in the server; and finally associating the first ID with the measurements taken by the health monitoring device corresponding to the second set of metadata, being based the association on the results of the previous comparison.

Abstract: According to an aspect of the present disclosure, there is provided a method in a portable electronic device for handling fall detection, the method comprising: detecting a suspected fall; and, preventing or suspending, at least temporarily, a triggering of a fall process based on a status and/or historical status of the electronic device, the status and/or historical status being at the time the suspected fall was detected. A portable electronic device and computer readable medium may also be provided.

Abstract: Proposed invention refers to a method for anonymously associating health monitoring device measurements to a user ID. The invention comprises the steps of: registering in a server a user associated with an ID and a first set of metadata; registering a health monitoring device associated to a second ID and a second set of metadata; then, sending through a first communication channel the ID associated to the user and the first set of metadata to the server by a communication device; taking a measurement of the user by the health monitoring device and sending through a second communication channel said measurement associated to the second ID and the second set of metadata to the server; comparing the metadata stored in the server; and finally associating the first ID with the measurements taken by the health monitoring device corresponding to the second set of metadata, being based the association on the results of the previous comparison.

Abstract: According to an aspect of the present disclosure, there is provided a method in a portable electronic device for handling fall detection, the method comprising: detecting a suspected fall; and, preventing or suspending, at least temporarily, a triggering of a fall process based on a status and/or historical status of the electronic device, the status and/or historical status being at the time the suspected fall was detected. A portable electronic device and computer readable medium may also be provided.