Abstract: A fabricating method of a semiconductor device is provided. A temporary semiconductor structure is provided. The temporary semiconductor structure includes a temporary substrate and a conductive layer, the temporary substrate has a first surface, the conductive layer is disposed on the first surface of the temporary substrate, and the conductive layer includes one or more first trace. Then, a recess is formed in the temporary semiconductor structure to form a first semiconductor structure and a first substrate. The recess penetrates through the first substrate and expose the one or more first trace. Thereafter, an input/output pad is formed in the recess and on the one or more first trace.

Abstract: Embodiments provide an oxygen supply device having multiple operational states including a first state and a second state. In the first state, the oxygen supply device is controllable to a local control instruction such that the oxygen supply device can be operated by a user physically located within a proximity of the oxygen supply device. In the second state, the oxygen supply device is only controllable to a remote-control instruction such that the oxygen supply device can be operated by a user remote to the oxygen supply device. For example, the user can be located in an office remote to a location of the oxygen supply device, which, for example, may be placed at a patient’s home. In the second state, the user is enabled to control the oxygen supply device from a device associated with the user in the remote location.

Abstract: A multi-robot collaboration method in a flexible hardware production workshop is provided, by which allocation of workpiece machining tasks and transfer of workpieces in different workstations can be achieved and meanwhile relatively high calculation cost is avoided. According to the method, a distributed collaboration method is fully used, and in allusion to the current technical condition, the allocation of the workpiece machining tasks and the transfer of the workpieces in different workstations can be achieved and meanwhile the relatively high calculation cost is avoided. A multi-AGV path conflict eliminating method is used for avoiding possible collision of AGVs during movement. A centralized intervention and adjustment method is used for discovering and predicting system conflicts and failure problems and making timely dispatching and adjustment so as to improve the automation level and the flexibility level of a hardware workshop.

Abstract: A multifunctional floating breakwater includes: a plank platform, a first buoy, a second buoy, a first wave baffle, a second wave baffle, a first arc breast wall, a second arc breast wall, upper inclined supports, lower inclined supports and a net cage. The multifunctional floating breakwater integrates a floating breakwater and a wave-energy power generation device, which can not only maintain good stability of the water surface in a harbor, but also generate electric energy, and allow for aquaculture and other activities as well, and has advantages of being movable and not limited by water depth and geology. In addition, the invention has a simple structure, easy production and maintenance, no pollution to the marine environment and therefore wide application prospects.

Abstract: A computing device for diffusion dictionary imaging (DDI) of microstructure and inflammation of a patient is provided. The DDI computing device is connected to other computing devices, such as a magnetic resonance imaging (MRI) scanner. The DDI computing device receives magnetic resonance (MR) signals from the MRI scanner. Once received, the DDI computing device records the one or more MR signals to a memory device. The DDI computing device computationally processes the one or more MR signals to reconstruct a diffusion MRI image using diffusion dictionary data. The MR signals include values that are used as input to algorithms of the DDI data to reconstruct the diffusion MRI image. A database is used to store DDI data, artificial intelligence (AI) data, diffusion dictionary data, and MR data.

Abstract: Disclosed is a method for detecting Ophiocephalus argus cantor under intra-class occulusion based on cross-scale layered feature fusion, including image collecting, image processing and network model, where collected images are labeled, image sizes are adjusted to obtain input images, and the input images are input into an object detection network, integrated by convolution and inserted into cross-scale layered feature fusion modules, characterized by including dividing all features input into the cross-scale layered feature fusion modules into n layers, composed of s feature mapping subsets, and fusing features of each feature mapping subset with that of other feature mapping subsets, and connecting; carrying out convolution operation, outputting training result; adjusting network parameters by a loss function to obtain parameters for a network model; inputting final output candidate boxes into a non-maximum suppression module to screen correct prediction boxes, so that prediction result is obtained.

Abstract: A lithium-sulfur battery includes: a substrate; a composite cathode disposed on the substrate; a solid-state electrolyte disposed on the composite cathode; and a lithium anode disposed on the solid-state electrolyte, such that the composite cathode comprises: active elemental sulfur, conductive carbon, sulfide electrolyte, and ionic liquid.

Abstract: A mechanism is provided to implement a trained machine learning computer model for determining z-wise lesion connectivity. The mechanism identifies, for a given slice in a three-dimensional medical image, a first lesion in the given slice and a second lesion in an adjacent slice in the three-dimensional medical image. The mechanism determines a first intersect value between the first lesion and the second lesion with respect to the first lesion and determines a second intersect value between the first lesion and the second lesion with respect to the second lesion. The mechanism determines whether the first lesion and the second lesion belong to the same three-dimensional lesion based on the first and second intersect values.

Abstract: A case, a battery, a power consuming device, and a method for assembling a case are provided. The case includes a first case body, an accommodating groove, a sealant, and a second case body. The first case body is provided with an opening. The accommodating groove is provided in a peripheral direction of the opening. The sealant is accommodated in the accommodating groove. The second case body is provided with a peripherally-arranged joint part. The joint part is configured to extend into the accommodating groove and be joined with the sealant when the second case body covers the opening, so as to form a sealed connection between the first case body and the second case body. The accommodating groove can limit the sealant, the sealant does not shift in the accommodating groove, and a sealing failure is less likely to occur, thus ensuring the sealing performance of the sealant.

Abstract: A lesion detection and classification artificial intelligence (AI) pipeline comprising a plurality of trained machine learning (ML) computer models is provided. First ML model(s) process an input volume of medical images (VOI) to determine whether VOI depicts a predetermined amount of an anatomical structure. The AI pipeline determines whether criteria, such as a predetermined amount of an anatomical structure of interest being depicted in the input volume, are satisfied by output of the first ML model(s). If so, lesion processing operations are performed including: second ML model(s) processing the VOI to detect lesions which correspond to the anatomical structure of interest; third ML model(s) performing lesion segmentation and combining of lesion contours associated with a same lesion; and fourth ML models processing the listing of lesions to classify the lesions. The AI pipeline outputs the listing of lesions and the classifications for downstream computing system processing.

Abstract: A method for constructing a persistent memory index in a non-uniform memory access architecture includes: maintaining partial persistent views in a persistent memory and maintaining a global volatile view in a DRAM; an underlying persistent memory index processing a request in a foreground thread when cold data is accessed; when hot data is accessed, reading a key-value pair for a piece of hot data in the global volatile view in response to a query operation carried in the request, and in response to an insert/update/delete operation carried in the request, updating a local partial persistent view and the global volatile view; and in response to a hotspot migration, a background thread generating new partial persistent views and a new global volatile view, and recycling the partial persistent views and the global volatile view for old hot data into the underlying persistent memory index.

Abstract: A lithium-sulfur battery includes: a substrate; a composite cathode disposed on the substrate; a solid-state electrolyte disposed on the composite cathode; and a lithium anode disposed on the solid-state electrolyte, such that the composite cathode comprises: active elemental sulfur, conductive carbon, and sulfide electrolyte, and the sulfide electrolyte is uniformly coated on at least one surface of the conductive carbon. A method of forming a composite cathode for a lithium-sulfur battery includes: synthesizing dispersed carbon fiber from cotton to form carbonized dispersed cotton fiber (CDCF) powder; in-situ coating of the CDCF with an electrolyte component to form a composite powder; and mixing active elemental sulfur powder with the composite powder to form the composite cathode.

Abstract: Methods and systems for diagnosing a condition of a central nervous system are provided. A method includes providing a DBSI-MRI data set obtained from the central nervous system of the subject, and transforming the DBSI-MRI data set to obtain at least one DBSI biomarker value. The method further includes comparing each DBSI biomarker value to at least one corresponding threshold value from a diagnostic database to obtain a relation between each DBSI biomarker value and the at least one corresponding threshold value, and diagnosing the condition according to at least one diagnostic rule, wherein each diagnostic rule defines a candidate condition in terms of the relations between the at least one DBSI biomarker value and the at least one corresponding threshold value.

Abstract: The present specification discloses video matching. In a computer-implemented method, a plurality of feature vectors of a target video is obtained. A candidate video similar to the target video is retrieved from a video database based on the plurality of feature vectors of the target video. A time domain similarity matrix feature map is constructed between the target video and the candidate video based on the target video and the candidate video. Using the time domain similarity matrix feature map as an input into a deep learning detection model, a video segment matching the target video in the candidate video and a corresponding similarity is output.

Abstract: A semiconductor light-emitting device includes a semiconductor light-emitting stack and an insulating light-transmissive layer. The semiconductor light-emitting stack includes an active layer and has a light-emitting surface. The insulating light-transmissive layer is disposed on the light-emitting surface and includes a base and a grade index structure. The base has a first refractive index. The grade index structure is disposed on the base in a way that the base is disposed between the semiconductor light-emitting stack and the graded index structure. The graded index structure includes at least two films and has a gradually varying refractive index which gradually decrease in a direction away from the base, and which is greater than the first refractive index. A light-emitting apparatus including the semiconductor light-emitting device and a sealing resin is also provided.

Abstract: A method, computer system and computer program product for model compression service. The method comprises determining an initial deep neural network (DNN) and an associated compression algorithm available in a compression engine, a type of target hardware and a performance requirement of target hardware. The method also comprises emulating a plurality of different compressed models of the initial DNN on target hardware of the type to obtain corresponding runtime performance data, wherein the different compressed models are defined with different configuration data. The method further comprises obtaining a runtime performance estimator of the target hardware by regression with the different configuration data and the corresponding runtime performance data. Lastly, the method comprises applying the runtime performance estimator to the compression algorithm by the compression engine to generate a compressed DNN of the initial DNN complying with the performance requirement of the type of target hardware.

Abstract: Embodiments of the invention are directed to a computer-implemented method that includes using a reinforcement learning (RL) system to generate a first set of displayed region candidates based on inputs received from online users while watching video. A recommendation system is used to rank the first set of displayed region candidates based on inputs received from a local user watching video. The recommendation system is further used to select a first highest ranked one of the first set of displayed region candidates. Based on the first highest ranked one of the first set of displayed region candidates, a first section of a first raw video frame is fetched that matches the first highest ranked one of the first set of displayed candidate regions, wherein the first section of the first raw video frame includes a first predicted display region of the video frame.

Abstract: Provided are a display module and a display device having the same. The display module includes: a drive substrate, a pixel definition layer, an OLED device layer, a color filter layer including sub-filter regions arranged in one-to-one correspondence to sub-pixel regions, and at least one blocking layer disposed on a side of the OLED device layer away from the drive substrate. Each blocking layer includes opening regions disposed to face the sub-pixel regions along a thickness direction of the drive substrate, and light shielding regions disposed to face portions of two adjacent sub-filter regions at which the two sub-filter regions are connected, along the thickness direction of the drive substrate. A length of a connecting line between two ends of each light shielding region is less than an actual length of the light shielding region on a cross section perpendicular to the drive substrate.

Abstract: The application relates to a substrate structure, an on-chip structure, and a method for manufacturing the on-chip structure. The substrate structure includes a substrate body and an electrothermal layer. The electrothermal layer is arranged on a surface of the substrate body for growing an epitaxial layer. In an actual lift off process of the epitaxial layer, only the electrothermal layer is electrically conducted to an external power supply via an electrode, and heating of the electrothermal layer is utilized to heat the epitaxial layer, therefore, a part of the epitaxial layer in contact with the substrate structure can be thermally decomposed and separated from the substrate structure.

Abstract: A method, a computer system, and a computer program product for mapping operational records to a topology graph. Embodiments of the present invention may include generating an event frequent pattern using operational records. Embodiments of the present invention may include integrating topology-based event frequent patterns. Embodiments of the present invention may include mapping the operational records with an embedding engine. Embodiments of the present invention may include predicting incident events. Embodiments of the present invention may include receiving labeled patterns to the embedding engine for an active learning cycle.