Abstract: Embodiments disclosed herein relate to using an implantation process and a melting anneal process performed on a nanosecond scale to achieve a high surface concentration (surface pile up) dopant profile and a retrograde dopant profile simultaneously. In an embodiment, a method includes forming a source/drain structure in an active area on a substrate, the source/drain structure including a first region comprising germanium, implanting a first dopant into the first region of the source/drain structure to form an amorphous region in at least the first region of the source/drain structure, implanting a second dopant into the amorphous region containing the first dopant, and heating the source/drain structure to liquidize and convert at least the amorphous region into a crystalline region, the crystalline region containing the first dopant and the second dopant.

Abstract: A hybrid permanent magnet motor rotor rotates around a central axis, and includes: a rotor core provided with a plurality of magnet installation slots; and a plurality of magnet parts embedded inside a plurality of magnet installation slots respectively, wherein the rotor is provided with a plurality of first magnetic pole parts and a plurality of second magnetic pole parts, the magnetic poles of the first magnetic pole part and the second magnetic pole part are arranged in opposite and alternately in the circumferential direction, and the magnetic placement of the first magnetic pole part is different from that of the second magnetic pole part, the amount of magnets used in the second magnetic pole part is greater than that used in the first magnetic pole part.

Abstract: Provided are a handover method, a handover device, and a network system. The handover method includes: receiving cell information of a second cell sent by a second network element, wherein the second cell is a cell managed by the second network element, and the cell information includes predicted cell load information of the second cell; and sending a handover instruction to a terminal in a case where the cell information satisfies a preset condition, wherein the handover instruction is used for instructing the terminal to perform handover to the second cell, and the case where the cell information satisfies the preset condition at least indicates that the predicted cell load information of the second cell is lower than a configured first threshold.

Abstract: Methods, systems, and computer program products for de-duplicating data in executable files in a container image are disclosed. The method may include receiving a request to read a file in a first layer in a container image including a plurality of layers, wherein the file is a delta file which is from an updated executable file based on a base executable file, the base executable file is in a lower layer than the first layer in the container image, and the delta file includes block mappings between the updated executable file and the base executable file and different data between the two files, and blocks included in the two files are based on respective file structure. The method may also include restoring the updated executable file based on the delta file and the base executable file. The method may further include returning data in the updated executable file.

Abstract: A tunnel operation robot includes a robot body, a walking module, a fixed wing module and a plurality of rotatable wing modules. Both sides of the robot body are provided with cantilever parts, which are collinearly arranged. The walking module is arranged on the robot body. The fixed wing module includes a fixed fan, is fixedly arranged on the robot body, and is configured to provide a pressure for the walking module to be attached to and pressed against the tunnel wall surface. The plurality of rotatable wing modules are respectively arranged on the cantilever parts on both sides of the robot body, and include a rotatable rotating fan and a wind direction adjustment driver. Each rotating fan has a rotation axis parallel to the cantilever parts and an air outlet direction perpendicular to the cantilever parts, and the wind direction adjustment driver is connected to the rotating fan.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a semantic segmentation neural network for point clouds. One of the methods includes: obtaining a plurality of training points divided into a respective plurality of components; obtaining, for each of the respective plurality of components, data identifying a ground truth category for one or more labeled point; processing each training points using a semantic segmentation neural network to generate a semantic segmentation that includes a respective score for each of the plurality of categories; determining a gradient of a loss function that penalizes the semantic segmentation neural network for generating, for points in the component, non-zero scores for categories that are not the ground truth category for any labeled point in the component; and updating, using the gradient, the parameters of the semantic segmentation neural network.

Abstract: An embodiment includes generating a caller list of callers that issue requests for calling a designated program at runtime. The embodiment also includes generating an authorized caller list of authorized callers allowed to call the designated program, wherein the authorized callers are selected from among callers on the caller list. The embodiment also includes generating an authorization key for each of the authorized callers that the designated program will require as a condition for completing call requests.

Abstract: A microelectromechanical system (MEMS) structure and method of forming the MEMS device, including forming a first metallization structure over a complementary metal-oxide-semiconductor (CMOS) wafer, where the first metallization structure includes a first sacrificial oxide layer and a first metal contact pad. A second metallization structure is formed over a MEMS wafer, where the second metallization structure includes a second sacrificial oxide layer and a second metal contact pad. The first metallization structure and second metallization structure are then bonded together. After the first metallization structure and second metallization structure are bonded together, patterning and etching the MEMS wafer to form a MEMS element over the second sacrificial oxide layer. After the MEMS element is formed, removing the first sacrificial oxide layer and second sacrificial oxide layer to allow the MEMS element to move freely about an axis.

Abstract: A memory device for memory cell programming and erasing with refreshing operation is disclosed. The memory device includes multiple location-related memory cells and a refresh module. The location-related memory cells are coupled to a bit line on which a selecting voltage is applied. The refresh module rewrites a stored data of a first cell of the location-related memory cells to the first cell of the location-related memory cells in response to an operation count being smaller than a number N. N is related to the number of the location-related memory cells.

Abstract: A method that includes collecting, by a computer, social network posts by social network friends of a user containing images. The method further includes identifying, by the computer, images within the social network posts containing the user through facial image recognition based on an image of the user in a user social network profile and determining, by the computer, information from the identified images containing the user within the social network posts for inclusion in the user social network profile. The method may further include updating, by the computer, the profile information of the user social network profile to include the information from the identified images containing the user within the social network posts.

Abstract: A method for preparing acetic acid by catalyst including the following steps is provided, S1. preparing the hydrotalcite carrier by hydrothermal method; S2. ion exchange; S3. liquid phase reduction; S4. placing the CoPd/LDH catalyst obtained in S3 in a two-channel fixed bed step-by-step continuous reactor, carrying out the reaction at 100-400° C. and 0.1-20 MPa, synthesizing acetic acid by alternating feeding of CH4+H2+H2O and CO2+H2+H2O, with the alternating time of 50-300 s. The present invention replaces the traditional process of acetic acid production including the steps of methane and carbon dioxide reforming to produce syngas. The process flow is short, the reaction conditions are mild, and the energy consumption and cost are greatly reduced.

Abstract: A method includes performing a plasma activation on a surface of a first package component, removing oxide regions from surfaces of metal pads of the first package component, and performing a pre-bonding to bond the first package component to a second package component.

Abstract: A method includes forming a gate stack on a first portion of a semiconductor substrate, removing a second portion of the semiconductor substrate on a side of the gate stack to form a recess, growing a semiconductor region starting from the recess, implanting the semiconductor region with an impurity, and performing a melt anneal on the semiconductor region. At least a portion of the semiconductor region is molten during the melt anneal.

Abstract: Mechanisms are provided for scheduling a workload in a cloud computing system. A cloud affinity factor (CAF) computer model is trained, via a machine learning process based on a training dataset comprising static characteristics of a workload binary for a workload, and dynamic characteristics corresponding to historical performance data for the workload, such that the trained CAF computer model predicts a performance classification for a given workload binary. The trained CAF computer model processes a new workload to generate a performance classification for the new workload. Cloud affinity factor(s) are generated based on the performance classification for the new workload. Node affinity and dispatch rule(s) are applied to the cloud affinity factor(s) to select one or more nodes of the cloud computing system to which to dispatch the workload. The workload is then scheduled on the selected one or more nodes.

Abstract: A semiconductor device includes a magnetic tunneling junction (MTJ) on a substrate, a first spacer on one side of the of the MTJ, a second spacer on another side of the MTJ, a first metal interconnection on the MTJ, and a liner adjacent to the first spacer, the second spacer, and the first metal interconnection. Preferably, each of a top surface of the MTJ and a bottom surface of the first metal interconnection includes a planar surface and two sidewalls of the first metal interconnection are aligned with two sidewalls of the MTJ.

Abstract: A system level search module receives system level search user interface registration information for an application of the computing device. The registration information includes an indication of how the system level search module can launch the application. The registration information is added to a registration store, and the application is included as one of one or more applications that can be searched using the system level search user interface.

Abstract: Disclosed are an in-memory computing architecture for a nearest neighbor search of a cosine distance and an operating method thereof. The in-memory computing architecture comprises two FeFET-based storage arrays, Translinear circuits and a WTA circuit, and the two storage arrays are a first storage array and a second storage array, respectively; wherein each of the storage cells comprises a FeFET and a resistor which are electrically connected; an input vector is inputted into the first storage array for outputting the inner product X of the input vector multiplied by all the storage vectors in the first storage array; the second storage array outputs the sum of squares Y of all vector elements in the storage vectors; the output values of the first storage array and the second storage array are respectively inputted into the Translinear circuits through current mirrors; and the Translinear circuits output X2/Y to the WTA circuit.

Abstract: A method of forming a semiconductor device includes forming a source/drain region and a gate electrode adjacent the source/drain region, forming a hard mask over the gate electrode, forming a bottom mask over the source/drain region, wherein the gate electrode is exposed, and performing a nitridation process on the hard mask over the gate electrode. The bottom mask remains over the source/drain region during the nitridation process and is removed after the nitridation. The method further includes forming a silicide over the source/drain region after removing the bottom mask.

Abstract: A semiconductor device includes a magnetic tunneling junction (MTJ) on a substrate, a first spacer on one side of the of the MTJ, a second spacer on another side of the MTJ, a first metal interconnection on the MTJ, and a liner adjacent to the first spacer, the second spacer, and the first metal interconnection. Preferably, each of a top surface of the MTJ and a bottom surface of the first metal interconnection includes a planar surface and two sidewalls of the first metal interconnection are aligned with two sidewalls of the MTJ.

Abstract: Embodiments of the present disclosure relate to automated validation of medical data. Some embodiments of the present disclosure provide a method for medical data validation. The method comprises obtaining target medical data generated in a medical test and obtaining a machine learning model for validating medical data. The machine learning model represents an association between the medical data and validation results, the validation results indicating information about predetermined actions to be performed on the medical data. The method further comprises determining a target validation result for the target medical data by applying the target medical data to the machine learning model, the target validation result indicating information about a target action selected from the predetermined actions to be performed on the target medical data. Through the solution, it is possible to achieve automated medical data validation with high accuracy and efficiency as well as reduced manual efforts.