Abstract: There is provided a method for providing a target position for a robotic speaker in an environment. The method includes receiving sensor information from one or more sensors related to the environment, obtaining at least one of initiation gesture information, position information, and face direction information based on the sensor information, the face direction information related to one or more users present in the environment, obtaining the target position of the robotic speaker in the environment by performing a calibration process based on the at least one of initiation gesture information, position information, or face direction information and one or more and acoustic properties of the environment, and positioning the robotic speaker at the target position.

Abstract: Methods, systems and media for computer vision using 2D convolution of 4D video data tensors are described. 3D convolution operations performed on 5D input tensors are simulated by performing 2D convolution of 4D tensors instead. A convolution block of a CNN performs two parallel operations: a spatial processing branch performs spatial feature extraction on a 4D tensor using 2D convolution, whereas a temporal processing branch performs temporal feature extraction on a different 4D tensor using 2D convolution. The output tensors of the spatial processing branch and the temporal processing branch are combined to generate an output tensor of the convolution block. The convolution block may include additional operations such as reshaping and/or further convolution operations to generate identically-sized output tensors for each branch, thereby eliminating the need for post-processing of the branches' output tensors prior to combining them.

Abstract: A dental membrane that is used with a patient having insufficient bone at a surgical site during a ridge augmentation. The dental membrane includes a first layer and a second layer. The first layer is cortical bone or formed from artificial bone materials to have characteristics of cortical bone. The second layer is cancellous bone or formed from artificial bone materials to have characteristics of cancellous bone.

Abstract: There is provided a method for providing a target position for a robotic speaker in an environment. The method includes receiving sensor information from one or more sensors related to the environment, obtaining at least one of initiation gesture information, position information, and face direction information based on the sensor information, the face direction information related to one or more users present in the environment, obtaining the target position of the robotic speaker in the environment by performing a calibration process based on the at least one of initiation gesture information, position information, or face direction information and one or more and acoustic properties of the environment, and positioning the robotic speaker at the target position.

Abstract: A method and system for making a bone plug using cortical bone material. A patient jaw having insufficient bone at a surgical site may be scanned to provide a 3D image which may be used to design a virtual bone plug and to fabricate the bone plug for placement within the patient. The bone plug may be formed from cortical bone that can be reconstituted and demineralized or demineralized and milled to shape.

Abstract: A dental membrane that is used with a patient having insufficient bone at a surgical site during a ridge augmentation. The dental membrane includes a first layer and a second layer. The first layer is cortical bone or formed from artificial bone materials to have characteristics of cortical bone. The second layer is cancellous bone or formed from artificial bone materials to have characteristics of cancellous bone.

Abstract: An implantable screw for maintaining horizontal and/or vertical space during bone grafting procedures. The screw includes a head having a top surface configured to engage a dental membrane, a shaft, and a tip. The shaft is at least partially threaded to engage bone. The dental membrane and the screw provide space for bone growth material during bone grafting.

Abstract: Methods, systems and media for computer vision using 2D convolution of 4D video data tensors are described. 3D convolution operations performed on 5D input tensors are simulated by performing 2D convolution of 4D tensors instead. A convolution block of a CNN performs two parallel operations: a spatial processing branch performs spatial feature extraction on a 4D tensor using 2D convolution, whereas a temporal processing branch performs temporal feature extraction on a different 4D tensor using 2D convolution. The output tensors of the spatial processing branch and the temporal processing branch are combined to generate an output tensor of the convolution block. The convolution block may include additional operations such as reshaping and/or further convolution operations to generate identically-sized output tensors for each branch, thereby eliminating the need for post-processing of the branches' output tensors prior to combining them.

Abstract: Drill bits for cutting bones adjacent to soft tissue are disclosed. According to one example, the drill bit includes a working portion having a top cutting surface including a first top cutting surface and a second top cutting surface. The second stop cutting surface has an angle with respect to a line perpendicular to the longitudinal axis of the drill bit that is less than an angle with respect to a line perpendicular to the longitudinal axis of the drill bit of the first top cutting surface.

Abstract: Drill bits for cutting bones adjacent to soft tissue are disclosed. According to one example, the drill bit includes a working portion having a top cutting surface including a first top cutting surface and a second top cutting surface. The second stop cutting surface has an angle with respect to a line perpendicular to the longitudinal axis of the drill bit that is less than an angle with respect to a line perpendicular to the longitudinal axis of the drill bit of the first top cutting surface.

Abstract: Embodiments herein provide a method for capturing view in an electronic device comprising at least two image sensors. The method includes determining a folding angle between a first side of the electronic device including a first image sensor and a second side of the electronic device including a second image sensor. Further, the method also includes capturing a first view of a scene using the first image sensor and capturing a second view of the scene using the second image sensor. Further, the method includes determining whether the first view and the second view partially overlap with each other, completely overlap with each other, or do not overlap with each other based on the folding angle.

Abstract: Embodiments herein provide a method for capturing view in an electronic device comprising at least two image sensors. The method includes determining a folding angle between a first side of the electronic device including a first image sensor and a second side of the electronic device including a second image sensor. Further, the method also includes capturing a first view of a scene using the first image sensor and capturing a second view of the scene using the second image sensor. Further, the method includes determining whether the first view and the second view partially overlap with each other, completely overlap with each other, or do not overlap with each other based on the folding angle.

Abstract: A computational method for identifying adhesin and adhesin-like proteins, said method comprising steps of computing the sequence-based attributes of a neural network software wherein the attributes are (i) amino acid frequencies, (ii) multiplet frequency, (iii) dipeptide frequencies, (iv),charge composition, and (v) hydrophobic composition, training the artificial neural Network (ANN) for each of the computed five attributes, and identifying the adhesin and adhesin-like proteins having probability of being an adhesin (Pad) as ?0.51; a computer system for performing the method; and genes and proteins encoding adhesin and adhesin-like proteins.

Abstract: A computational method for identifying adhesin and adhesin-like proteins, said method comprising steps of computing the sequence-based attributes of a neural network software wherein the attributes are (i) amino acid frequencies, (ii) multiplet frequency, (iii) dipeptide frequencies, (iv),charge composition, and (v) hydrophobic composition, training the artificial neural Network (ANN) for each of the computed five attributes, and identifying the adhesin and adhesin-like proteins having probability of being an adhesin (Pad) as ?0.51; a computer system for performing the method; and genes and proteins encoding adhesin and adhesin-like proteins.