Abstract: A base substrate and a first metal layer laminated on the base substrate are included. A first laminated portion and a second laminated portion are arranged on and directly contact a side of the first metal layer. The first laminated portion includes a first insulating layer, a second metal layer, a second insulating layer and a first conductive layer. The first laminated portion is arranged with a first via. The second laminated portion includes a third insulating layer and a second conductive layer laminated on the third insulating layer. The second laminated portion is arranged with a second via. The first via is connected to the first conductive layer, the second via is connected to the second conductive layer, and the first conductive layer is connected to the second conductive layer. The second laminated portion is extended to reach an edge of the first metal layer.

Abstract: A connector includes a housing provided with an accommodating cavity and a first opening communicating with the accommodating cavity; a circuit board disposed in the accommodating cavity and provided with a first signal connection point; a connection head disposed on the housing and including a second signal connection point for external device connection; and a switch disposed in the first opening, being respectively connected to the first signal connection point and the second signal connection point. The switch is used for controlling the connection or disconnection between the first signal connection point and the second signal connection point. In the above-mentioned manner, the connector and a heavy load may be disconnected by the switch when the connector is pulled out, so that risks of instant ignition and short circuit caused by the connector pulled out may be avoided, and safety accidents may be reduced.

Abstract: A connector includes a housing provided with an accommodating cavity and a first opening communicating with the accommodating cavity; a circuit board disposed in the accommodating cavity and provided with a first signal connection point; a connection head disposed on the housing and including a second signal connection point for external device connection; and a switch disposed in the first opening, being respectively connected to the first signal connection point and the second signal connection point. The switch is used for controlling the connection or disconnection between the first signal connection point and the second signal connection point. In the above-mentioned manner, the connector and a heavy load may be disconnected by the switch when the connector is pulled out, so that risks of instant ignition and short circuit caused by the connector pulled out may be avoided, and safety accidents may be reduced.

Abstract: A packaging box for receiving blades of a manual razor according to the present disclosure includes a base and a shielding detachably covered on the base. The base includes a bottom plate and a projecting platform extending upwardly from an upper surface of the bottom plate and embedded in the shielding, at least one receiving groove formed on the projecting platform for receiving the blades therein; a first metal block arranged on the base for adsorbing the shielding and a pair of projecting portions respectively arranged on both sides of the projecting platform for handholding; a second metal block corresponding to the first metal block arranged on the shielding. One of the first and second metal blocks is a magnet, and the other is a metal or a magnet configured to adsorb with the magnet; a pair of notches arranged on the shielding for engaging with corresponding projecting portions.

Abstract: A method of identifying bounded hydrocarbon formations of interest in a seismic data set includes obtaining a seismic data set, pre-processing the seismic data set, inputting the plurality of graphical model inputs and one or more rules to a graphical model, wherein the rules define a relationship between a plurality of attributes of a bounded hydrocarbon formation, running a graphical model on the graphical model inputs, post-processing the graphical model outputs, and displaying the ranked clusters in order of rank.

Abstract: Embodiments described herein provide a hybrid technique which incorporates learned pulmonary nodule features in a model based energy minimization segmentation using graph cuts. Features are extracted from training samples using a convolutional neural network, and the segmentation cost function is augmented via the deep learned energy. The system and method improves segmentation performance and more robust initialization.

Abstract: A method for identifying a plurality of features of interest in a seismic image includes ranking each feature of interest. The method also includes modeling a relationship between the rank of each feature of interest and a user rating of the feature of interest. The method further includes updating the ranking of the plurality of features of interest, including (1) receiving a user rating for one feature of interest that has not been previously rated by a user; (2) updating the model of the relationship between the rank of each feature of interest and the user rating of the feature of interest based on the user rating; (3) applying the model to the ranking of the plurality of features of interest; and (4) repeating steps (1)-(3) until a termination criterion is met.

Abstract: A method includes accessing a seismic image comprising a plurality of features of interest. The method also includes defining a plurality of configuration files for a plurality of graphical models. The method further includes applying the plurality of graphical models to the seismic image. The method also includes generating a plurality of scores for each feature of interest, wherein each graphical model generates a score for each feature of interest. The method further includes combining the plurality of scores for each feature of interest into a plurality of combined scores, wherein each feature of interest has a combined score.

Abstract: Embodiments described herein provide a hybrid technique which incorporates learned pulmonary nodule features in a model based energy minimization segmentation using graph cuts. Features are extracted from training samples using a convolutional neural network, and the segmentation cost function is augmented via the deep learned energy. The system and method improves segmentation performance and more robust initialization.

Abstract: A method of identifying bounded hydrocarbon formations of interest in a seismic data set includes obtaining a seismic data set, pre-processing the seismic data set, inputting the plurality of graphical model inputs and one or more rules to a graphical model, wherein the rules define a relationship between a plurality of attributes of a bounded hydrocarbon formation, running a graphical model on the graphical model inputs, post-processing the graphical model outputs, and displaying the ranked clusters in order of rank.

Abstract: A method includes accessing a seismic image comprising a plurality of features of interest. The method also includes defining a plurality of configuration files for a plurality of graphical models. The method further includes applying the plurality of graphical models to the seismic image. The method also includes generating a plurality of scores for each feature of interest, wherein each graphical model generates a score for each feature of interest. The method further includes combining the plurality of scores for each feature of interest into a plurality of combined scores, wherein each feature of interest has a combined score.

Abstract: A method for identifying a plurality of features of interest in a seismic image includes ranking each feature of interest. The method also includes modeling a relationship between the rank of each feature of interest and a user rating of the feature of interest. The method further includes updating the ranking of the plurality of features of interest, including (1) receiving a user rating for one feature of interest that has not been previously rated by a user; (2) updating the model of the relationship between the rank of each feature of interest and the user rating of the feature of interest based on the user rating; (3) applying the model to the ranking of the plurality of features of interest; and (4) repeating steps (1)-(3) until a termination criterion is met.

Abstract: The coronary sinus or other vessel is segmented by finding a centerline and then using the centerline to locate the boundary of the vessel. For finding the centerline, a refinement process uses multi-scale sparse appearance learning. For locating the boundary, the lumen is segmented as a graph cut problem.

Abstract: The coronary sinus or other vessel is segmented by finding a centerline and then using the centerline to locate the boundary of the vessel. For finding the centerline, a refinement process uses multi-scale sparse appearance learning. For locating the boundary, the lumen is segmented as a graph cut problem.