Abstract: A top item holder is configured to be placed on top of a screen. The top item holder includes an anti-tilt device, at least one slider, a slide rail and at least one holder unit. The anti-tilt device is for preventing the top item holder from being relatively tilting with respect to the screen. The slide rail is disposed at a top of the anti-tilt device. The slider is slidably disposed on the slide rail and can slide in a sliding direction within a sliding travel. The holder unit is disposed on the slider. Thereby, top space of the screen can be effectively utilized, and relocation of the holder unit becomes more convenient.

Abstract: Methods and systems for training a model include distinguishing hidden states of a monitored system based on condition information. An encoder and decoder are generated for each respective hidden state using forward and backward autoencoder losses. A hybrid hidden state is determined for an input sequence based on the hidden states. The input sequence is reconstructed using the encoders and decoders and the hybrid hidden state. Parameters of the encoders and decoders are updated based on a reconstruction loss.

Abstract: A method for identifying defects in a multi-barrier wellbore includes receiving log data, the log data corresponding to one or more wellbore operations, the log data including data from at least one measurement modality corresponding to a present measurement modality. The method also includes training, using the log data, a machine learning model. The method further includes acquiring wellbore data, via the present measurement modality, during a logging operation. The method also includes processing at least a portion of the wellbore data using the trained machine learning model. The method includes identifying one or more features of interest in the wellbore data, via the trained machine learning model.

Abstract: A display device and a display method are provided. The display device includes a display mechanism and a motion mechanism. The display mechanism includes a plurality of first display groups, a plurality of second display groups, and a plurality of third display groups arranged along a first direction. The motion mechanism is respectively connected to the first display groups, the second display groups, and the third display groups, and is configured to guide the first display groups, the second display groups, the third display groups to move along the first direction.

Abstract: A computer-implemented method for simulating vehicle data and improving driving scenario detection is provided.

Abstract: In an embodiment, a method includes receiving a first measurement of gamma rays via a detector during a first period of time, receiving a second measurement of gamma rays via the detector during a second period of time, removing the second measurement from the first measurement to produce an inelastic spectrum, determining a spectral slope from the inelastic spectrum, determining a scaling factor based on the spectral slope, determining a spectral shape associated with the detector, determining a detector-induced spectrum by applying the scaling factor to the spectral shape, and removing the detector-induced spectrum from the inelastic spectrum to produce a clean inelastic spectrum.

Abstract: The present disclosure provides an immersion cooling system for a server cabinet including a plurality of server boxes, a cooling tank and a plurality of liquid connecting pipes. Each server box includes an electronic device immersed in the cooling liquid, and the electronic device generates a thermal energy so that part of the cooling liquid evaporates into a hot vapor. The cooling tank is connected to the plurality of server boxes and includes a condenser and a storage part. The condenser is connected to each server box and condenses the hot vapor to form the cooling liquid. The storage part storages the cooling liquid from the condenser. Two ends of the liquid connecting pipe is connected to the storage part and the server box respectively. The cooling liquid in the storage part and the cooling liquid of each server box are maintained in a same liquid level.

Abstract: Methods and systems for anomaly detection include training an anomaly detection histogram model using historical categorical value data. Training the anomaly detection histogram model includes generating a histogram template based on historical categorical data, converting the historical categorical data to a histogram using the histogram template, and determining a normal range and anomaly threshold for the categorical data using the histogram.

Abstract: Methods and systems for anomaly correction include detecting an anomaly in a time series of categorical data values generated by a sensor, displaying a visual depiction of an anomalous time series, corresponding to the detected anomaly, on a user interface with a visual depiction of an expected normal behavior to contrast to the anomalous time series, and performing a corrective action responsive to the displayed detected anomaly. Detecting the anomaly includes framing the time series with a sliding window, generating a histogram for the categorical data values using a histogram template, generating an anomaly score for the time series using an anomaly detection histogram model on the generated histogram, and comparing the anomaly score to an anomaly threshold.

Abstract: A downhole logging system includes a gamma ray source positioned within a logging tool. The system further includes a collimator associated with the gamma ray source, the collimator having an opening to direct a flow of radiation into the formation. The system also includes a radiation detector operable to detect backscatter radiation from the area. The system further includes a motor to rotate the collimator in either a continuous or stepping fashion for scanning a borehole and an actuator associated with the gamma ray source. The actuator moves the gamma ray source between a first position and a second position, the first position being misaligned with the opening and the second position being aligned with the opening.

Abstract: A method for determining a tubing deviation from nuclear measurement data includes acquiring neutron measurement data from a wellbore. The method also includes identifying one or more features from the neutron measurement data. The method further includes determining, based at least in part on a pattern matching algorithm, that the one or more features are indicative of a tubular deviation. The method also includes determining, based at least in part on a comparison between the one or more features, a deviation amount.

Abstract: One embodiment of the present invention provides a system for facilitating storage encryption and decryption. During operation, the system receives a first request to encrypt data which is to be stored on a remote device, wherein the first request indicates the data. The system updates a key based on a dynamic key refreshment protocol. The system determines a key label for the updated key. The system encrypts the data based on the updated key, and transmits the encrypted data and the key label to the remote device, thereby facilitating secure encryption and decryption of data on the remote device.

Abstract: A method for identifying a defect within a cement layer of a multi string wellbore includes deploying a gamma scanner into the multistring wellbore, the gamma scanner including at least one source and at least one detector, the at least one source emitting radiation into the multistring wellbore and the at least one detector receiving backscatter radiation. The method also includes obtaining, from the gamma scanner, a count rate associated with at least one region of interest of the multistring wellbore. The method further includes identifying, based at least in part on data acquired from the gamma scanner, a background profile for the multistring wellbore. The method includes removing the background profile from the count rate. The method further includes identifying, within the at least one region of interest, a defect within the cement layer.

Abstract: Systems and methods for orthognathic surgical planning are described herein. An example computer-implemented method can include generating a composite three-dimensional (3D) model of a subject's skull, defining a primal reference frame for the composite 3D model, performing a cephalometric analysis on the composite 3D model to quantify at least one geometric property of the subject's skull, performing a virtual osteotomy to separate the composite 3D model into a plurality of segments, performing a surgical simulation using the osteotomized segments, and designing a surgical splint or template for the subject.

Abstract: An integrated circuit structure includes a semiconductor substrate, a passivation layer, a first protective layer, and a second protective layer. The passivation layer is over the semiconductor substrate. The first protective layer is over the passivation layer. The second protective layer is over the first protective layer, wherein a boundary of the first protective layer is confined within the second protective layer.

Abstract: A display device and a display method are provided. The display device includes a display mechanism and a motion mechanism. The display mechanism includes a plurality of first display groups, a plurality of second display groups, and a plurality of third display groups arranged along a first direction. The motion mechanism is respectively connected to the first display groups, the second display groups, and the third display groups, and is configured to guide the first display groups, the second display groups, the third display groups to move along the first direction.

Abstract: Embodiments of the present application provide an acceleration management node. The acceleration management node separately receives acceleration device information of all acceleration devices. The acceleration device information includes an algorithm type, an acceleration bandwidth or non-uniform memory access architecture (NUMA). The acceleration management node obtains an invocation request from a client. The acceleration management node queries the acceleration device information to determine, from all the acceleration devices of the at least one acceleration node, a target acceleration device matching the invocation request. The acceleration management node further instructs a target acceleration node to respond to the invocation request.

Abstract: A machine learning system includes multiple machine learning models. A target object, such as a file, is scanned for machine learning features. Context information of the target object, such as the type of the object and how the object was received in a computer, is employed to select a machine learning model among the multiple machine learning models. The machine learning model is also selected based on threat intelligence, such as census information of the target object. The selected machine learning model makes a prediction using machine learning features extracted from the target object. The target object is allowed or blocked depending on whether or not the prediction indicates that the target object is malicious.

Abstract: Systems and methods for orthognathic surgical planning are described herein. An example computer-implemented method can include generating a composite three-dimensional (3D) model of a subject's skull, defining a global reference frame for the composite 3D model, performing a cephalometric analysis on the composite 3D model to quantify at least one geometric property of the subject's skull, performing a virtual osteotomy to separate the composite 3D model into a plurality of segments, performing a surgical simulation using the osteotomized segments, and designing a surgical splint or template for the subject.

Abstract: Methods and systems for establishing dental occlusion are described herein. These systems and methods can be used for 1-, 2-, or 3-piece maxillary orthognathic surgeries. An example computer-implemented method includes receiving a maxillary dental model and a mandibular dental model, identifying a plurality of dental landmarks in each of the maxillary and mandibular dental models, and extracting a plurality of points-of-interest from each of the maxillary and mandibular dental models. The dental landmarks include a plurality of maxillary dental landmarks and a plurality of mandibular dental landmarks. The method further includes aligning the maxillary and mandibular points-of-interest, and fine tuning the alignment of the maxillary and mandibular dental models to achieve maximum contact with a collision constraint.