Abstract: Systems and methods of the present disclosure include animating virtual avatars or agents according to input audio and one or more selected or determined emotions and/or styles. For example, a deep neural network can be trained to output motion or deformation information for a character that is representative of the character uttering speech contained in audio input. The character can have different facial components or regions (e.g., head, skin, eyes, tongue) modeled separately, such that the network can output motion or deformation information for each of these different facial components. During training, the network can use a transformer-based audio encoder with locked parameters to train an associated decoder using a weighted feature vector. The network output can be provided to a renderer to generate audio-driven facial animation that is emotion-accurate.

Abstract: A one-way data migration system may shift authentication data from a legacy database to a current database. The system may include one or more databases, a mobile device, a mobile device processor, a backend server, a backend receiver, a backend processor, and a backend transmitter. The backend transmitter may transmit requests to the mobile device. The backend receiver may receive the usernames and passwords. The backend processor may authenticate the input usernames and passwords using a hash previously stored within a first database. The backend processor may create a current or updated hash for the password. The system may change the underlying pathway from a pathway associated with the hash previously stored within the first database to a current pathway associated with the current hash. A second database may store the current hash. Following storage of the current hash, the processor may flag the username and/or password as migrated.

Abstract: A computing device learns a directed acyclic graph (DAG). (A) A target variable is defined from variables based on a topological order vector and a first index. (B) Input variables are defined from the variables based on the topological order vector and a second index. (C) A machine learning model is trained with observation vectors using the target variable and the input variables. (D) The machine learning model is executed to compute a loss value. (E) The second index is incremented. (F) (B) through (E) are repeated a first plurality of times. (G) The first index is incremented. (H) (A) through (G) are repeated a second plurality of times. A parent set is determined for each variable based on a comparison between the loss value computed each repetition of (D). The parent set is output for each variable to describe the DAG that defines a hierarchical relationship between the variables.

Abstract: A 3D loop article made of a material comprising polyethylene, ethylene/?-olefin copolymer, or a blend of polyethylene and ethylene/?-olefin copolymer, wherein the material has a low-perfection crystal melting enthalpy, calculated within a temperature range of 15-80° C., of less than or equal to 30 J/g.

Abstract: Provided are a system and a method for impact testing and monitoring of a high-energy flexible net. The system includes a vertical impact testing unit, a slope impact testing unit, an impact simulation unit, and an impact monitoring unit. The vertical impact testing unit includes a vertically positioned gravity wall. The slope impact testing unit includes a wall slope positioned perpendicularly to a second side of the gravity wall. A first side of the gravity wall and a slope surface of the wall slope are securely provided with a flexible net, respectively. The impact simulation unit includes an impact assembly and a lifting assembly. The impact monitoring unit is configured to monitor a deformation result and an internal force change result of the flexible net.

Abstract: A computing device learns a directed acyclic graph for a plurality of variables. (A) A target variable and zero or more input variables are defined based on a predefined topological order vector and a first index. (B) A machine learning model is trained with observation vectors using the target variable and the input variables. (C) The machine learning model is executed using the observation vectors with the target variable and the input variables to compute a residual vector. (D) The first index is incremented. (E) (A) through (D) are repeated a first plurality of times. A parent set is determined for each variable by comparing the residual vector computed each repetition of (C) to other residual vectors computed on other repetitions of (C). The parent set is output for each variable to describe a directed acyclic graph that defines a hierarchical relationship between the variables.

Abstract: A computing device learns a best topological order vector for a plurality of variables. (A) A topological order vector is defined. (B) A target variable and zero or more input variables are defined based on the topological order vector. (C) A machine learning model is trained with observation vectors using values of the target variable and the zero or more input variables. (D) The machine learning model is executed with second observation vectors using the values of the target variable and the zero or more input variables to compute a loss value. (E) (A) through (D) are repeated a plurality of times. Each topological order vector defined in (A) is unique in comparison to other topological order vectors defined in (A). The best topological order vector is determined based on a comparison between the loss values computed for each topological order vector in (D).

Abstract: The present disclosure discloses a display panel and a manufacturing method thereof. The display panel includes a first display region and a third display region; the display panel includes a substrate and a suppression layer. A ratio of an area of an orthographic projection of a second cathode suppression layer on the substrate to an area of the third display region is less than a ratio of an area of an orthographic projection of a first cathode suppression layer on the substrate to an area of the first display region. The third display region provides transitional effect, and the suppression layer is configured to increase a light transmittance of the first display region and reduce a brightness difference of each display region.

Abstract: Systems, methods, and devices are disclosed herein for developing a cell design. Operations of a plurality of electrical cells are simulated to collect a plurality of electrical parameters. A machine learning model is trained using the plurality of electrical parameters. The trained machine learning model receives data having cell layout design constraints. The trained machine learning model determines a cell layout for the received data based on the plurality of electrical parameters. The cell layout is provided for further characterization of electrical performance within the cell layout design constraints.

Abstract: A computing device learns a directed acyclic graph (DAG). (A) A target variable is defined from variables based on a topological order vector and a first index. (B) Input variables are defined from the variables based on the topological order vector and a second index. (C) A machine learning model is trained with observation vectors using the target variable and the input variables. (D) The machine learning model is executed to compute a loss value. (E) The second index is incremented. (F) (B) through (E) are repeated a first plurality of times. (G) The first index is incremented. (H) (A) through (G) are repeated a second plurality of times. A parent set is determined for each variable based on a comparison between the loss value computed each repetition of (D). The parent set is output for each variable to describe the DAG that defines a hierarchical relationship between the variables.

Abstract: An intrinsic-safety explosive disposal and protection device is incapable of causing secondary damage itself during excessive explosion or extreme conditions and capable of realizing efficient absorption for energy from explosion shock waves. The device includes an explosion-proof top cover, a support plate, an explosion-proof material filling layer and an explosion-proof drum; the explosion-proof drum is of a drum body structure having openings in two ends; the explosion-proof top cover is disposed on a top opening of the explosion-proof drum; the support plate is supported inside the explosion-proof drum, a height of the support plate in the explosion-proof drum is adjustable, and an area located below the support plate in the explosion-proof drum is a placing area for the explosive. An explosion-proof material is filled between the support plate in the explosion-proof drum and the explosion-proof top cover to form the filling layer. Use of the device is also provided.

Abstract: A semiconductor structure is disclosed. The semiconductor structure includes a staircase structure disposed over a substrate. The staircase structure includes a plurality of layer stacks, where each layer stack is made of a first material layer over a portion of a second material layer. The staircase structure further includes a plurality of landing pads, where each landing pad is disposed over another portion of the second material layer of a respective layer stack.

Abstract: A display device including a display panel, a flexible light guide having a Young's modulus of about 10 to 1000 MPa, a light emitting element, and an optical layer is provided. The flexible light guide includes a light source portion, a light entrance portion, and a middle portion. The middle portion is bent, so that the light source portion and the light entrance portion are disposed at the opposite sides of the display panel. The light emitting element is disposed adjacent to the light entrance portion of the flexible light guide with a light emitting surface facing the side edge of the flexible light guide. The optical layer is in contact with a surface of the light source portion and a difference of refractive index between the flexible light guide and the optical layer is in a range of 0.1 to 0.2.

Abstract: In various examples, a technique for audio-driven facial animation with adaptive speech includes determining that a rate of speech associated with an audio segment exceeds a threshold. The technique also includes based at least on the rate of speech exceeding the threshold, upsampling a first set of features associated with the audio segment into a second set of features that is different in size than the first set of features. The technique further includes generating, using one or more machine learning models and based at least on at least a subset of the second set of features, a facial animation output corresponding to the audio segment.

Abstract: A motorized crushing apparatus includes a zero voltage detector, a manual switch, a motor driver, a motor and a controller. The zero voltage detector is coupled to an AC power source. When a varying voltage of the AC power source is below zero, the zero voltage detector generates a first signal. When the varying voltage of the AC power source is above zero, the zero voltage detector generates a non-zero signal. The manual switch is provided for a user to select a crushing pattern from multiple candidate crushing patterns. The controller is coupled to the zero voltage detector, the manual switch and the motor driver. The controller generates a control signal corresponding to the selected crushing pattern to alternatively turn on and turn off the motor driver under a schedule pattern.

Abstract: A sample mounting device for direct tensile test of rock mass is provided, which includes a first positioning stage, a second positioning stage, a first support piece, a second support piece, and a screw drive mechanism. The second positioning stage is arranged above the first positioning stage and capable of moving up and down, and cushion blocks for gluing with the rock mass are coaxially and detachably arranged at opposite ends of the first positioning stage and the second positioning stage, and a rock mass mounting area is formed between the two cushion blocks. A screw of the screw drive mechanism includes a first thread segment and a second thread segment with opposite thread directions. The first support piece is connected with the first thread segment through a nut seat, and the second support piece is connected with the second thread segment through a nut seat.

Abstract: The present disclosure provides an isolated monoclonal antibody or an antigen-binding fragment thereof that binds specifically to leukocyte immunoglobulin-like receptor 4 (LILRB4). In certain embodiments, the antibody or antigen-binding fragment, when bound to LILRB4, modulates the activation of LILRB4. In certain embodiments, the antibody or antigen-binding fragment, when bound to LILRB4, activates LILRB4. In certain embodiments, the antibody or antigen binding fragment, when bound to LILRB4, suppresses activation of LILRB4. In certain embodiments, the antibody or antigen-binding fragment, when bound to LILRB4, specifically blocks binding of ApoE to LILRB4. In another aspect, there is provided a method of treating or ameliorating the effects of a cancer in a subject, comprising administering to the subject a therapeutically effective amount of the antibody or an antigen-binding fragment thereof or an engineered cell as provided herein.

Abstract: The present invention belongs to animal experiments field, disclosed a single factor modeling-constraint method and device for mice chronic fatigue syndrome, the modeling-constraint method is specifically using mineral water bottle to restraint mice; the mineral water bottle is divided into upper, middle and lower parts; the body of mineral water bottle is uniformly drilled for mice to breathe; the inner of the mineral water bottle is blocked by a cardboard to reduce the move space of mice; cover the mice through the divided bottle; one end of the opening is tightly attach to the wall, the other end is tightly attach to the mice feeding box, and keeping 30 minutes to restraint. The present invention utilizes mineral water bottle to make three simple restraint tube, not only saves the costs of experiment, but also turns waste into treasure, which is a simple operation, and increases the possibility of the experiment.

Abstract: A light source device includes a light guide plate, an optical adhesive, and a light source element. The light guide plate includes a light guide substrate and an enhancement layer. The light guide substrate has a light incident surface, a first surface, and a second surface. The first surface is opposite to the second surface, and the light incident surface extends between the first surface and the second surface. The enhancement layer is disposed on the light guide substrate. A thickness of the enhancement layer is from 1 micrometer to 25 micrometers and a first refractive index of the light guide substrate is greater than a second refractive index of the enhancement layer. The optical adhesive is interposed between the first surface of the light guide substrate and the optical adhesive. The light source element is disposed beside the light incident surface to emit light toward the light incident surface.