Abstract: A computer-implemented technique is described herein for assisting a user in advancing a task objective. The technique uses a suggestion-generating system (SGS) to provide one or more suggestions to a user in response to at least a last-submitted query provided by the user. The SGS may correspond to a classification-type or generative-type neural network. The SGS uses a machine-trained model that is trained using a multi-task training framework based on plural groups of training examples, which, in turn, are produced using different respective example-generating methods. One such example-generating method constructs a training example from queries in a search session. It operates by identifying the task-related intent the queries, and then identifying at least one sequence of queries in the search session that exhibits a coherent task-related intent. A training example is constructed based on queries in such a sequence.

Abstract: A computer-implemented technique is described herein for assisting a user in advancing a task objective. The technique uses a suggestion-generating system (SGS) to provide one or more suggestions to a user in response to at least a last-submitted query provided by the user. The SGS may correspond to a classification-type or generative-type neural network. The SGS uses a machine-trained model that is trained using a multi-task training framework based on plural groups of training examples, which, in turn, are produced using different respective example-generating methods. One such example-generating method constructs a training example from queries in a search session. It operates by identifying the task-related intent the queries, and then identifying at least one sequence of queries in the search session that exhibits a coherent task-related intent. A training example is constructed based on queries in such a sequence.

Abstract: A system for extracting a key phrase from a document includes a neural key phrase extraction model (“BLING-KPE”) having a first layer to extract a word sequence from the document, a second layer to represent each word in the word sequence by ELMo embedding, position embedding, and visual features, and a third layer to concatenate the ELMo embedding, the position embedding, and the visual features to produce hybrid word embeddings. A convolutional transformer models the hybrid word embeddings to n-gram embeddings, and a feedforward layer converts the n-gram embeddings into a probability distribution over a set of n-grams and calculates a key phrase score of each n-gram. The neural key phrase extraction model is trained on annotated data based on a labeled loss function to compute cross entropy loss of the key phrase score of each n-gram as compared with a label from the annotated dataset.

Abstract: A device is provided to clean, disinfect, and unclog a plumbing outlet. The device includes a cylindrical body (2) defining a fluid conduit between a first end configured to fit to a tap of pressurized fluid outlet (3). The cylindrical body has a diameter reducer (21) that narrows in diameter from the first end to a second end and forms an internal housing (22). The diameter reducer (22) induces a Venturi effect in water passing therethrough from the tap of pressurized fluid outlet (3). The device further includes a tube in fluid communication with the second end, a dome receiving an end of the tube and configured to surround the plumbing outlet and through which the water passes to clean, disinfect and unclog the plumbing outlet. A bar (5) of detergent or another chemical operative to clean, disinfect or unclog is configured to reside in the internal housing (22).

Abstract: This invention relates to a phytotherapic composition associated to polyvitamin and mineral supplements in anti-inflammatory, antioxidant, immunostimulant treatments, as well as helping treatments of viral infections, musculoskeletal inflammatory disorders, and gastrointestinal disorders with lesions, in addition to microbiota alterations.

Abstract: This invention is related to a phytotherapic composition associated to polyvitamin and mineral supplements for anti-hepatotoxic and antioxidant treatment, besides helping hepatic protein synthesis and the circulatory system and contributing directly to neurotransmitter synthesis, whereby its hepatoprotective action helps patients with liver diseases or developing hepatobiliary disorders, providing relief in dyspepsia and liver-related digestive problems.

Abstract: A system for extracting a key phrase from a document includes a neural key phrase extraction model (“BLING-KPE”) having a first layer to extract a word sequence from the document, a second layer to represent each word in the word sequence by ELMo embedding, position embedding, and visual features, and a third layer to concatenate the ELMo embedding, the position embedding, and the visual features to produce hybrid word embeddings. A convolutional transformer models the hybrid word embeddings to n-gram embeddings, and a feedforward layer converts the n-gram embeddings into a probability distribution over a set of n-grams and calculates a key phrase score of each n-gram. The neural key phrase extraction model is trained on annotated data based on a labeled loss function to compute cross entropy loss of the key phrase score of each n-gram as compared with a label from the annotated dataset.

Abstract: A system for extracting a key phrase from a document includes a neural key phrase extraction model (“BLING-KPE”) having a first layer to extract a word sequence from the document, a second layer to represent each word in the word sequence by ELMo embedding, position embedding, and visual features, and a third layer to concatenate the ELMo embedding, the position embedding, and the visual features to produce hybrid word embeddings. A convolutional transformer models the hybrid word embeddings to n-gram embeddings, and a feedforward layer converts the n-gram embeddings into a probability distribution over a set of n-grams and calculates a key phrase score of each n-gram. The neural key phrase extraction model is trained on annotated data based on a labeled loss function to compute cross entropy loss of the key phrase score of each n-gram as compared with a label from the annotated dataset.

Abstract: The valve has: a body (10) projecting an inlet duct (30) and an outlet duct (40); a seat (31) in the inlet duct (30) and cooperating with a sealing ball (32); a helical spring (33) between the sealing ball (32) and a supporting ball (34); a rotor (50) mounted on the body (10) and having a cam surface (51), cooperating with the supporting ball (34); a locking member (60) having a magnet (61) and housed within each cavity (52) of the rotor (50), and to be moved between operative and inoperative positions; a spring (62) in each cavity (52) and forcing the locking member (60) into the operative position; and retention housings (15), each of two of the latter being opposite to each other, receiving one of the locking members (60) in the operative position, in a rotational position of the rotor (50).

Abstract: A computer-implemented technique is described herein for assisting a user in advancing a task objective. The technique uses a suggestion-generating system (SGS) to provide one or more suggestions to a user in response to at least a last-submitted query provided by the user. The SGS may correspond to a classification-type or generative-type neural network. The SGS uses a machine-trained model that is trained using a multi-task training framework based on plural groups of training examples, which, in turn, are produced using different respective example-generating methods. One such example-generating method constructs a training example from queries in a search session. It operates by identifying the task-related intent the queries, and then identifying at least one sequence of queries in the search session that exhibits a coherent task-related intent. A training example is constructed based on queries in such a sequence.

Abstract: Device to clean, disinfect and unclog kitchen, bathroom sinks drains, garbage disposals and other uses includes a cylindrical body (2), open at its two ends, provided with means for its tight fitting at the outlet (3) of a tap, includes a reducer length (21) of the diameter of the the outlet, the said body (2) being connected in turn, to a flexible pipe (4), also open at its ends, by which distal end (41) the water is expelled under pressure that can be oriented to carry out the cleaning of the sink where the tap is located in the non-accessible areas such as the overflow or the drain. A distal end (41) of the pipe (4) can be blind but incorporates several side holes (43) that radially distribute the pressurized water. A body (2) can include the diameter reducer (21) defines an internal housing (22) adapted to incorporate a bar (5) of detergent or other chemical.

Abstract: A system for extracting a key phrase from a document includes a neural key phrase extraction model (“BLING-KPE”) having a first layer to extract a word sequence from the document, a second layer to represent each word in the word sequence by ELMo embedding, position embedding, and visual features, and a third layer to concatenate the ELMo embedding, the position embedding, and the visual features to produce hybrid word embeddings. A convolutional transformer models the hybrid word embeddings to n-gram embeddings, and a feedforward layer converts the n-gram embeddings into a probability distribution over a set of n-grams and calculates a key phrase score of each n-gram. The neural key phrase extraction model is trained on annotated data based on a labeled loss function to compute cross entropy loss of the key phrase score of each n-gram as compared with a label from the annotated dataset.

Abstract: The present invention belongs to the field of biomedicine and tissue engineering. Specifically, it relates to a biomaterial and to an in vitro method for preparing a tissue or bioartificial membrane having controlled elasticity and rigidity, and to the tissue or artificial membrane obtainable using the method. The invention further relates to the uses thereof in medicine.

Abstract: The present invention provides a system that enhances the experience of using a portable device such as mobile phones, smart phones, Personal Digital Assistants PDA etc. To improve the user experience in the use of a portable device, techniques are used for “context characterization, i.e., from a range of conditions possible to detect by the system, such as time (date/time), current location, motion, etc., as well as the historical use of the device, a certain grouping of actions and settings, called “context” are selected automatically or manually, modifying and setting from that moment the way of user interacts with the device.

Abstract: A system and method are capable of performing make-up virtual images obtained with portable devices with a digital camera. The method automatically detects points of interest (eyes, mouth, eyebrow, face contour) of the user's face image allowing the user to virtually apply make-up using fingers on a touch screen. Another algorithm was created to avoid “blurring” of make-up in the application from the user's fingers. The system allows the creation of virtual make-up faces with high accuracy. To carry out the virtual make-up, methods were created for automatically detecting points of interest in the facial image and enforcing transparency in the image to simulate the make-up and restrict the make-up application area within the region where the points of interest are found. The system allows testing cosmetics application in facial images to aid choosing colors of cosmetics before actually applying them.

Abstract: A system and method are capable of performing make-up virtual images obtained with portable devices with a digital camera. The method automatically detects points of interest (eyes, mouth, eyebrow, face contour) of the user's face image allowing the user to virtually apply make-up using fingers on a touch screen. Another algorithm was created to avoid “blurring” of make-up in the application from the user's fingers. The system allows the creation of virtual make-up faces with high accuracy. To carry out the virtual make-up, methods were created for automatically detecting points of interest in the facial image and enforcing transparency in the image to simulate the make-up and restrict the make-up application area within the region where the points of interest are found. The system allows testing cosmetics application in facial images to aid choosing colors of cosmetics before actually applying them.

Abstract: An acoustic seal device is placed around the periphery of aircraft doors for reducing reducing wind noises transmitted into the aircraft cabin by the door gaps without adding additional weight to the aircraft. The acoustic seal includes a pre-shaped body made of a soundproofing material. The pre-shaped body is adapted to be secured to a door opening and has a shape that matches the shape of the door opening.

Abstract: The present invention provides a system that enhances the experience of using a portable device such as mobile phones, smart phones, Personal Digital Assistants PDA etc. To improve the user experience in the use of a portable device, techniques are used for “context characterization, i.e., from a range of conditions possible to detect by the system, such as time (date/time), current location, motion, etc., as well as the historical use of the device, a certain grouping of actions and settings, called “context” are selected automatically or manually, modifying and setting from that moment the way of user interacts with the device.