Abstract: A modified cutinase is disclosed. The cutinase has the modified amino acid sequence of SEQ ID NO: 2, wherein the modification is a substitution of asparagine at position 181 with alanine, or substitutions of asparagine at position 181 with alanine and phenylalanine at position 235 with leucine. The modified enzyme has improved PET-hydrolytic activity, and thus, the high-activity PET hydrolase is obtained, and the industrial application value of the PET hydrolase is enhanced.

Abstract: Mammography data such as DBT and/or FFDM images may be processed using deep learning based techniques, but labeled training data that may facilitate the learning may be difficult to obtained. Described herein are systems, methods, and instrumentalities associated with automatically generating and/or augmenting labeled mammography training data, and training a deep learn model based on the auto-generated/augmented data for detecting a breast disease (e.g., breast cancer) in a mammography image.

Abstract: A computer implemented method for certifying robustness of image classification in a neural network is provided. The method includes initializing a neural network model. The neural network model includes a problem space and a decision boundary. A processor receives a data set of images, image labels, and a perturbation schedule. Images are drawn from the data set in the problem space. A distance from the decision boundary is determined for the images in the problem space. A re-weighting value is applied to the images. A modified perturbation magnitude is applied to the images. A total loss function for the images in the problem space is determined using the re-weighting value. A confidence level of the classification of the images in the data set is evaluated for certifiable robustness.

Abstract: Digital breast tomosynthesis (DBT) may provide richer information than full-field digital mammography (FFDM). DBT data such as DBT slices may be processed based on deep learning techniques such as using a neural network, and the DBT slices may be divided into groups and a pre-determined number of representative images may be derived based on the grouping. The neural network may be configured to process the representative images to predict the presence or non-presence of a breast disease such as breast cancer.

Abstract: A Node-B sends a polling message to a wireless transmit/receive unit (WTRU). The WTRU sends an uplink synchronization burst in response to the polling message without contention. The Node-B estimates an uplink timing shift based on the synchronization burst and sends an uplink timing adjustment command to the WTRU. The WTRU then adjusts uplink timing based on the uplink timing adjustment command. Alternatively, the Node-B may send a scheduling message for uplink synchronization to the WTRU. The WTRU may send a synchronization burst based on the scheduling message. Alternatively, the WTRU may perform contention-based uplink synchronization after receiving a synchronization request from the Node-B. The WTRU may enter an idle state instead of performing a handover to a new cell when the WTRU moves to the new cell. A discontinuous reception (DRX) interval for the WTRU may be set based on activity of the WTRU.

Abstract: A 3D anatomical model of one or more blood vessels of a patient may be obtained using CT angiography, while a 2D image of the blood vessels may be obtained based on fluoroscopy. The 3D model may be registered with the 2D image based on a contrast injection site identified on the 3D model and/or in the 2D image. A fused image may then be created to depict the overlaid 3D model and 2D image, for example, on a monitor or through a virtual reality headset. The injection site may be determined automatically or based on a user input that may include a bounding box drawn around the injection site on the 3D model, a selection of an automatically segmented area in the 3D model, etc.

Abstract: A method for generating a mask pattern to be employed in a patterning process. The method including obtaining (i) a first feature patch including a first polygon portion of an initial mask pattern, and (ii) a second feature patch including a second polygon portion of the initial mask pattern; adjusting the second polygon portion at a patch boundary between the first feature patch and the second feature patch such that a difference between the first polygon portion and the second polygon portion at the patch boundary is reduced; and combining the first polygon portion and the adjusted second polygon portion at the patch boundary to form the mask pattern.

Abstract: A method may include obtaining, using a gamma-ray detector, first acquired gamma-ray data regarding a first core sample. The first acquired gamma-ray data may correspond to various sensor steps. The method may further include determining a sensitivity map based on the first acquired gamma-ray data. The method may further include obtaining, using the gamma-ray detector, second acquired gamma-ray data regarding a second core sample at the sensor steps. The method further includes generating a gamma-ray log using the sensitivity map and a gamma-ray inversion process.

Abstract: The present invention relates to monobactam compounds of Formula I: and pharmaceutically acceptable salts thereof. The present invention also relates to compositions which comprise a monobactam compound of structural formula I or a pharmaceutically acceptable salt thereof, and a pharmaceutically acceptable carrier. The invention further relates to methods for treating a bacterial infection comprising administering to the patient a therapeutically effective amount of a compound of structural formula I, either alone or in combination with a therapeutically effective amount of a second beta-lactam antibiotic.

Abstract: A video decoder can be configured to determine that a current block in a current picture of the video data is coded in an affine prediction mode; determine one or more control-point motion vectors (CPMVs) for the current block; identify an initial prediction block for the current block in a reference picture using the one or more CPMVs; determine a current template for the current block in the current picture; and determine an initial reference template for the initial prediction block in the reference picture; and perform a motion vector refinement process to determine a modified prediction block based on a comparison of the current template to the initial reference template.

Abstract: The present disclosure provides a method for preparing a nicotinamide mononucleotide cocrystal, and aims to solve the technical problems of larger content/weight difference and inconsistent quality of nicotinamide mononucleotide (NMN) medicines or health care products due to poor fluidity of existing nicotinamide mononucleotide crystals. The method includes the steps of mixing nicotinamide mononucleotide as an active pharmaceutical ingredient with isonicotine as a cocrystal former by adopting solution synthesis and then performing crystal precipitation. The method has the advantages of simple operation and wide application range.

Abstract: An example device includes memory configured to store the video data and one or more processors implemented in circuitry and communicatively coupled to the memory. The one or more processors are configured to determine at least one of a temporal candidate or a history-based candidate and determine at least one non-adjacent candidate, wherein the at least one non-adjacent candidate is from a unit that is not adjacent to a current prediction unit (PU). The one or more processors are configured to determine an advanced motion vector predictor (AMVP) candidate list including the at least one of the temporal candidate or the history-based candidate and the at least one non-adjacent candidate. The at least one non-adjacent candidate is added to the AMVP candidate list after the temporal candidate or before the history-based candidate. The one or more processors are configured to code the current PU based on the AMVP candidate list.

Abstract: Provided is a motor braking device for a N-phase brushless motor. The motor braking device includes a switching circuit adapted to connect the N-phase brushless motor to a power supply, the switching circuit comprising a high side switch group and a low side switch group, each of the high side switch group and the low side switch group comprising N switching elements, and a control unit configured to control the switching circuit to brake the motor based on occurrence of a first event, the first event chosen from a group consisting of release of a trigger by a user, and occurrence of a predetermined condition as detected by a sensor. The control unit is configured to, upon occurrence of the first event, switch all the switching elements of one of the high side switch group or the low side switch group to an on-state, and simultaneously switch all the switching elements of the other one of the high side switch group and the lower side switch group to an off-state.

Abstract: A shielding structure is disposed around a camera of a mower, in a front of a forward direction of the mower. The shielding structure includes a first shielding plate, a second shielding plate, and a third shielding plate. The shielding plates from a lens surface of the camera. The first shielding plate is disposed above the camera to shield sunlight from a top of the camera. The second and third shielding plates are disposed on two sides of the camera to shield sunlight from the two sides of the camera. The shielding plates may be formed unitarily or separately, and they may be removably and/or retractably attached to the mower. The shielding plates may be arranged so that the shielding structure flares outwardly in the downward direction.

Abstract: An embodiment for automatically controlling peripheral devices based on online meeting participant information. The embodiment may detect participants of an online meeting and generate a participant information table. The embodiment may generate a participant group table including one or more preliminary participant groups based on the participant information. The embodiment may generate and send audio through peripheral devices associated with at least one participant in each of the one or more preliminary participant groups to identify the participants in physically shared meeting spaces. The embodiment may update the participant group table to include confirmed participant groups based on the identified participants in the physically shared meeting spaces. The embodiment may determine a presenter for each of the confirmed participant groups and update the participant information.

Abstract: An optical imaging lens includes first, second, third, fourth, fifth, and sixth lens elements, disposed sequentially from an object side to an image side, each of the lens elements having an object-side surface facing toward the object side and an image-side surface facing toward the image side. The image-side surface of the first lens element comprises a concave portion in a vicinity of an optical axis. The object-side surface of the third lens element comprises a concave portion in a vicinity of a periphery of the third lens element. The object-side surface of the fourth lens element comprises a concave portion in a vicinity of the optical axis. The lens elements of the optical imaging lens as a whole are only the six lens elements.

Abstract: The disclosure relates to processing application programming interface (API) requests. Embodiments include receiving, at an API wrapper, from a first caller, a first call to an API and sending the first call to the API. Embodiments include receiving, by the API wrapper, from one or more second callers, a second one or more calls to the API prior to receiving a response from the API to the first call. Embodiments include receiving, by the API wrapper, the response from the API to the first call and responding to the first call from the first caller with the response from the API to the first call. Embodiments include responding, by the API wrapper, to the second one or more calls from the one or more second callers with the response from the API to the first call without sending the second one or more calls to the API.

Abstract: In a wireless communication system comprising at least one evolved Node-B (eNB) and a plurality of wireless transmit/receive units (WTRUs), a non-contention based (NCB) channel is established, maintained, and utilized. The NCB channel is allocated for use by one or more WTRUs in the system for utilization in a variety of functions, and the allocation is communicated to the WTRUs. The wireless communication system analyzes the allocation of the NCB channel as required, and the NCB channel is reallocated as required.

Abstract: Deep learning-based systems, methods, and instrumentalities are described herein for MRI reconstruction and/or refinement. An MRI image may be reconstructed based on under-sampled MRI information and a generative model may be trained to refine the reconstructed image, for example, by increasing the sharpness of the MRI image without introducing artifacts into the image. The generative model may be implemented using various types of artificial neural networks including a generative adversarial network. The model may be trained based on an adversarial loss and a pixel-wise image loss, and once trained, the model may be used to improve the quality of a wide range of 2D or 3D MRI images including those of a knee, brain, or heart.

Abstract: Described herein are systems, methods, and instrumentalities associated with using an invertible neural network to complete various medical imaging tasks. Unlike traditional neural networks that may learn to map input data (e.g., a blurry reconstructed MRI image) to ground truth (e.g., a fully-sampled MRI image), the invertible neural network may be trained to learn a mapping from the ground truth to the input data, and may subsequently apply an inverse of the mapping (e.g., at an inference time) to complete a medical imaging task. The medical imaging task may include, for example, MRI image reconstruction (e.g., to increase the sharpness of a reconstructed MRI image), image denoising, image super-resolution, and/or the like.