Abstract: Disclosed herein are implants and systems comprising the implants, where the implants comprise: a tissue grasping member comprising a switching member, which switching member comprises a tissue contact portion and a first electrically conductive contact portion; and a connecting member comprising a second electrically conductive contact portion, wherein: the first electrically conductive contact portion and second electrically conductive contact portion are each configured to be electrically connected to an electrical circuit; the first electrically conductive contact portion of the switching member and the second electrically conductive contact portion of the connecting member together form a switch having a closed position when the first electrically conductive contact portion of the switching member is in contact with the second electrically conductive contact portion of the connecting member, and an open position when the first electrically conductive contact portion of the switching member is not in c

Abstract: Provided is a method for detecting a microRNA. The method comprises: adding both (a) a polyadenylic acid tailing reaction system and (b) a reverse transcription reaction system to a sample to be detected, and subjecting the mixture to a one-step method by means of using a universal reverse transcription primer to obtain a reverse-transcribed cDNA product; and amplifying the product with a downstream universal primer and a specific upstream primer and detecting the amplified product with a universal fluorescence probe in a DNA amplification reaction and fluorescence detection system. Further provided is a kit based on the above-mentioned method. The provided method and kit have significantly higher sensitivity and specificity than traditional methods, can realize high-throughput sensitive detection with a small amount of samples, are convenient to operate and consume a short amount of time, and can detect batches of target microRNAs at low cost.

Abstract: Aspects of the invention include systems and methods configured to prevent masquerading service attacks. A non-limiting example computer-implemented method includes sending, from a first server in a cloud environment, a communication request comprising an application programming interface (API) key and a first server identifier to an identity and access management (IAM) server of the cloud environment. The API key can be uniquely assigned by the IAM server to a first component of the first server. The first server receives a credential that includes a token for the first component and sends the credential to a second server. The second server sends the credential, a second server identifier, and an identifier for a second component of the second server to the IAM server. The second server receives an acknowledgment from the IAM server and sends the acknowledgment to the first server.

Abstract: Aspects of the invention include systems and methods configured to prevent masquerading service attacks. A non-limiting example computer-implemented method includes sending, from a first server in a cloud environment, a communication request comprising an application programming interface (API) key and a first server identifier to an identity and access management (IAM) server of the cloud environment. The API key can be uniquely assigned by the IAM server to a first component of the first server. The first server receives a credential that includes a token for the first component and sends the credential to a second server. The second server sends the credential, a second server identifier, and an identifier for a second component of the second server to the IAM server. The second server receives an acknowledgment from the IAM server and sends the acknowledgment to the first server.

Abstract: A target detection method based on fusion of vision, lidar and millimeter wave radar comprises: obtaining original data detected by a camera, a millimeter wave radar, and a lidar, and synchronizing the millimeter wave radar, the lidar, and the camera in time and space; performing a calculation on the original data detected by the millimeter wave radar according to a radar protocol; generating a region of interest by using a position, a speed, and a radar reflection area obtained from the calculation; extracting feature maps of a point cloud bird's-eye view and the original data detected by the camera; projecting the region of interest onto the feature maps of the point cloud bird's-eye view and the original data detected by the camera; fusing the feature maps of the point cloud bird's-eye view and the original data detected by the camera, and processing a fused image through a fully connected layer.

Abstract: Provided is a traffic sign recognition method based on a lightweight neural network, which including: a lightweight neural network model is constructed for training and pruning to obtain a lightweight neural network model; the lightweight neural network model comprises a convolution feature extraction part and a classifier part; the convolution feature extraction part includes one layer of conventional 3×3 convolution and 16 layers of separable asymmetric convolution. The classifier part includes three layers of separable full connection modules.

Abstract: Provided is a traffic sign recognition method based on a lightweight neural network, which including: a lightweight neural network model is constructed for training and pruning to obtain a lightweight neural network model; the lightweight neural network model comprises a convolution feature extraction part and a classifier part; the convolution feature extraction part includes one layer of conventional 3×3 convolution and 16 layers of separable asymmetric convolution. The classifier part includes three layers of separable full connection modules.

Abstract: Disclosed are a defense method and a model of deep learning model aiming at adversarial attacks in the technical field of image recognition, which makes full use of the internal relationship between the adversarial samples and the initial samples, and transforms the adversarial samples into common samples by constructing a filter layer in front of the input layer of the deep learning model; the parameters of the filter layer are trained by using the adversarial attack samples, so as to improve the ability of the model to resist adversarial attack; then the trained filter layer is combined with the learning model after the adversarial training, and a deep learning model with strong robustness and high classification accuracy is obtained, which ensures that the recognition ability of the initial sample is not reduced while resisting the adversarial attacks.

Abstract: Disclosed are a point cloud polar coordinate coding method and a device, including dividing a circular scanning area scanned by a lidar at an equal angle with an angle ?? to obtain a plurality of identical polar coordinate areas; dividing each of the polar coordinate areas with equal length along a radial direction with a length ?r to obtain a plurality of polar coordinate grids and generating a plurality of polar coordinate cylinders corresponding to each of the polar coordinate grids in a three-dimensional space; generating polar coordinate cylinder voxels; extracting structural features from the all point cloud data in each of the polar coordinate cylinder voxels; obtaining a two-dimensional point cloud pseudo-image; boundary supplementing to the two-dimensional point cloud pseudo-image; and performing feature extraction on the two-dimensional point cloud pseudo-image by using convolutional neural networks, and outputting a final feature map.

Abstract: A sliding motion transfer member (22) for the kinematic chain of an actuator mechanism of an endoscope. The sliding motion transfer member (22) has a proximal end and a distal end (21). The sliding motion transfer member (22) is adapted to receive motion activation input and to move in a sliding manner in response to said motion activation input, thereby transferring motion to an elongate motion transmission member (27) extending from the distal end (21) of the sliding motion transfer member (20). The sliding motion transfer member (22) comprises a first passage (36) adapted for receiving a proximal section of said elongate motion transmission member (20) and an adhesive.

Abstract: Methods, computer program products, and/or systems are provided that perform the following operations: in a data replication environment, analyzing a database workload to generate a knowledge base of information related to compression; dividing a transfer data stream into different segments based, at least in part, on the knowledge base; obtaining candidate compression types for the transfer data stream based, at least in part, on the knowledge base; assigning respective compression types of the candidate compression types to the different segments; generating compressed segments based, at least in part, on the respective compression types assigned to the different segments; and providing the compressed segments to a replication target.

Abstract: An electrical connector includes: an insulative housing having a mating slot; a contact module received in the insulative housing; and a metallic outer shell enclosing the insulative housing and having a latching portion spaced apart from a side wall of the insulative housing, wherein the metallic outer shell includes a pair of bulging portions flanking the latching portion to define, together with the side wall of the insulative housing, an engaging groove, and the metallic outer shell includes a pair of end walls and a pair of side portions between the end walls and the bulging portions, respectively, to define, together with the side wall of the insulative housing, a pair of side grooves.

Abstract: An electrical connector includes an insulative housing having a mating slot; a contact module received in the insulative housing, a metallic outer shell enclosing the insulative housing and having a latching portion spaced apart from a side wall of the insulative housing, and a metallic inner shield secured between the insulative housing and the metallic outer shell, wherein the metallic inner shield has a planar portion adjacent to the side wall of the insulative housing and a pair of bulging portions at two opposite ends of the planar portion, and the latching portion of the metallic outer shell and the planar portion and the bulging portions of the metallic inner shield together define an engaging groove.

Abstract: Aspects of the invention include systems and methods configured to prevent masquerading service attacks. A non-limiting example computer-implemented method includes sending, from a first server in a cloud environment, a communication request comprising an application programming interface (API) key and a first server identifier to an identity and access management (IAM) server of the cloud environment. The API key can be uniquely assigned by the IAM server to a first component of the first server. The first server receives a credential that includes a token for the first component and sends the credential to a second server. The second server sends the credential, a second server identifier, and an identifier for a second component of the second server to the IAM server. The second server receives an acknowledgment from the IAM server and sends the acknowledgment to the first server.

Abstract: A receptacle connector for mating with a plug connector having a mating tongue and a latch thereof, includes an insulative housing defining a mating slot extending along a longitudinal direction to receive the mating tongue of the plug connector, and an outer metallic shield defining a primary space to receive the housing and a secondary space communicatively beside the primary space to receive the latch of the plug connector. A plurality of contacts are disposed in the housing to mechanically and electrically connect to the mating tongue. An inner metallic shield is attached upon a long side of the housing to separate the primary space and the secondary space from each other in a transverse direction perpendicular to the longitudinal direction.

Abstract: Methods, computer program products, and/or systems are provided that perform the following operations: in a data replication environment, analyzing a database workload to generate a knowledge base of information related to compression; dividing a transfer data stream into different segments based, at least in part, on the knowledge base; obtaining candidate compression types for the transfer data stream based, at least in part, on the knowledge base; assigning respective compression types of the candidate compression types to the different segments; generating compressed segments based, at least in part, on the respective compression types assigned to the different segments; and providing the compressed segments to a replication target.

Abstract: In an approach to improve asynchronous replication in database clusters embodiments retain committed transactions during database cluster replication. Embodiments build and run asynchronous replication logic using database nodes running as one or more standalone nodes, wherein the asynchronous replication logic is responsible for data replication from a primary database node to one or more secondary database nodes. Embodiments register a replication reader to a sender node to replicate journal logs and replay the journal logs on the one or more secondary database nodes. Further, embodiments monitor replication lag metrics from the sender node and notify a replication source and a replication target of a generated replication plan, wherein the cluster controller instructs the replication source and the replication target to be ready to initiate the replication plan. Additionally, embodiments adjust a replication plan to allow the asynchronous replication logic to catch up and complete uncommitted transactions.