Abstract: A bio-trickling filter box device capable of purifying organic wastewater and generating electricity is provided, which includes battery component(s) and a bio-trickling filter box component. The battery component(s) is provided in the bio-trickling filter box. The other end of each of trickling filter tube(s) is connected with a water tank. A water pump operates to make water flow through the trickling filter tube(s), pass through leakage holes and trickling holes, and drip into the battery component(s) in a water-drop manner, so as to supply an electric apparatus component with power. The bio-trickling filter box component(s) and the battery component(s) are combined, and the long-term impingement of water droplets on the battery component(s) can accumulate electric charge and generate the electricity. so as to provide power required by the electric apparatus component, which forms a biological treatment system that generates the power while treating the wastewater.

Abstract: Systems and methods for generating a centerline for an object in an image are provided. An exemplary method includes receiving an image containing the object. The method also includes detecting at least one bifurcation of the object using a trained bifurcation learning network based on the image. The method further includes extracting the centerline of the object based on a constraint condition that the centerline passes through the detected bifurcation.

Abstract: A method for stitching image for medical imaging device may include obtaining a plurality of image series. Each of the plurality of image series may include one or more scanning images. The method may also include, for each of the plurality of image series, determining a tag of the each of the plurality of image series and classifying the plurality of image series based on the tags of the plurality of image series. The method may further include determining one or more groups of image series based on the classification. Image series in a same group may have a same tag. The method may also include stitching at least one image series of at least one group of the one or more groups of image series.

Abstract: Systems and methods for generating a centerline for an object in an image are provided. An exemplary method includes receiving an image containing the object. The method also includes generating a distance cost image using a trained first learning network based on the image. The method further includes detecting end points of the object using a trained second learning network based on the image. Moreover, the method includes extracting the centerline of the object based on the distance cost image and the end points of the object.

Abstract: The present disclosure involves a reference line determination method and system. In a process of determining a reference line, a plurality of original images containing a first spatial position information are obtained. According to the plurality of original images, a composite image containing a second spatial position information is further determined. After a composition relationship between a plurality of original images was determined, a reference line is determined on the composite image according to the spatial position information.

Abstract: A class of compositions in the Li—Mn—O—F chemical space for Li-ion cathode materials. The compositions are cobalt-free, high-capacity Li-ion battery cathode materials synthesized with cation-disordered rocksalt (DRX) oxide or oxyfluorides, with the general formula LixMn2-xO2-yFy (1.1?x?1.3333; 0?y?0.6667). The compositions are characterized by: (i) high capacities (e.g., >240 mAh/g); (ii) high energy densities (e.g., >750 Wh/kg between 1.5-4.8V); (iii) favorable cyclability; and (iv) low cost.

Abstract: The present disclosure involves a reference line determination method and system. In a process of determining a reference line, a plurality of original images containing a first spatial position information are obtained. According to the plurality of original images, a composite image containing a second spatial position information is further determined. After a composition relationship between a plurality of original images was determined, a reference line is determined on the composite image according to the spatial position information.

Abstract: A slider for heat assisted magnetic recording (HAMR) is provided. The slider includes a writer for writing data to a HAMR medium, a reader for reading data stored on the HAMR medium, a near field transducer (NFT), a first waveguide optically coupled to the NFT, a slider laser configured to generate and transmit a first light energy to the first waveguide such that the NFT causes a portion of the HAMR medium to heat up, to assist the writer for writing data to the HAMR medium, and a second waveguide optically coupled to the NFT, for transmitting a light energy from an external laser to the NFT to optically anneal the NFT during a fabrication process of the slider.

Abstract: Systems and methods for generating a centerline for an object in an image are provided. An exemplary method includes receiving an image containing the object. The method also includes generating a distance cost image using a trained first learning network based on the image. The method further includes detecting end points of the object using a trained second learning network based on the image. Moreover, the method includes extracting the centerline of the object based on the distance cost image and the end points of the object.

Abstract: The present disclosure is directed to a method and device for generating anatomical labels for a physiological tree structure. The method may include receiving a 3D model and a 3D skeleton line of the physiological tree structure. The 3D model is restructured based on medical image data of the physiological tree structure acquired by an imaging device. The method further includes selecting at least one level from extracting geometrical features from a pool of selectable levels. The method also includes extracting, by a processor, geometrical features from the 3D model of the physiological tree structure along the 3D skeleton line at the selected at least one level. The method also includes generating, by the processor, anatomical labels for the physiological tree structure using a trained learning network based on the extracted geometrical features.

Abstract: The present disclosure is directed to a computer-implemented method and system for anatomical tree structure analysis. The method includes receiving model inputs for a set of positions in an anatomical tree structure. The method further includes applying, by a processor, a set of encoders to the model inputs. Each encoder is configured to extract features from the model input at a corresponding position. The method also includes applying, by the processor, a tree structured network to the extracted features. The tree structured network has a plurality of nodes each connected to one or more of the encoders, and information propagates among the nodes of the tree structured network according to spatial constraints of the anatomical tree structure. The method additionally includes providing an output of the tree structured network as an analysis result of the anatomical tree structure analysis.

Abstract: The present disclosure is directed to a computer-implemented method and system for anatomical tree structure analysis. The method may begin with receiving a task of the anatomical tree structure analysis. Then, a set of positions in the anatomical tree structure may be set or received, by a processor, as the sampling positions for model inputs and model outputs. Then model inputs may be determined, by the processor, at the sampling positions on the basis of the task. An encoder may be selected, by the processor, for each position of the set of positions on the basis of the task. The encoder may be configured to receive a model input at each position and extract features for the corresponding position. After that, a tree structured recurrent neural network (RNN) may be constructed by the processor with nodes corresponding to the set of positions and connected with the respective encoders.

Abstract: The present disclosure is directed to a method and device for generating anatomical labels for a physiological tree structure. The method may include receiving a 3D model and a 3D skeleton line of the physiological tree structure. The 3D model is restructured based on medical image data of the physiological tree structure acquired by an imaging device. The method further includes selecting at least one level from extracting geometrical features from a pool of selectable levels. The method also includes extracting, by a processor, geometrical features from the 3D model of the physiological tree structure along the 3D skeleton line at the selected at least one level. The method also includes generating, by the processor, anatomical labels for the physiological tree structure using a trained learning network based on the extracted geometrical features.

Abstract: The disclosure provides a method and system for determining a lumen volume of a target blood vessel. The method may include acquiring a temporal sequence of angiography images of the target blood vessel after a contract agent is injected in the target blood vessel. The method may further include identifying a region of interest containing the target blood vessel, by a processor, in each angiography image in the temporal sequence of angiography images. The method may also include integrating, by the processor, pixel values in each region of interest, and determining the lumen volume, by the processor, based on the integrated values of the regions of interest and a predetermined correlation between the integrated values and volumes of the contrast agent.

Abstract: The present disclosure involves a reference line determination method and system. In a process of determining a reference line, a plurality of original images containing a first spatial position information are obtained. According to the plurality of original images, a composite image containing a second spatial position information is further determined. After a composition relationship between a plurality of original images was determined, a reference line is determined on the composite image according to the spatial position information.

Abstract: A method for stitching image for medical imaging device may include obtaining a plurality of image series. Each of the plurality of image series may include one or more scanning images. The method may also include, for each of the plurality of image series, determining a tag of the each of the plurality of image series and classifying the plurality of image series based on the tags of the plurality of image series. The method may further include determining one or more groups of image series based on the classification. Image series in a same group may have a same tag. The method may also include stitching at least one image series of at least one group of the one or more groups of image series.

Abstract: A chip-to-chip eutectic bonding system includes a stage with a top surface, a bottom surface, and a plurality of vacuum apertures extending therebetween and a carrier with a top surface, the top surface including one or more smooth surface portions and one or more rough surface portions, wherein at least one smooth carrier surface portion laterally aligns to at least one vacuum aperture, and at least one of the stage's rough surface portions frictionally couples to at least one of the carrier's rough surface portions when the carrier top surface couples to and opposes the stage bottom surface.

Abstract: A substrate assembly includes a chip coupled with a carrier, a substrate having a first surface and an opposing second surface, and a support structure mounted to the second surface of the substrate and in contact with the carrier. A method of bonding a chip and carrier assembly to a substrate includes contacting the chip and carrier assembly with the bond material and applying heat and force on the chip and carrier assembly until the support structure is mounted on the second surface of the substrate and in contact with the carrier. A substrate assembly includes a chip coupled with a carrier, a substrate having a first surface and an opposing second surface, and one of the carrier or the substrate comprising a trench having a periphery, wherein the second surface of the substrate supports the carrier along the periphery of the trench.

Abstract: A laser diode device is affixed to a mounting face of a slider, opposite the air bearing surface. The laser includes a submount having an electrically conductive surface layer that is normal to the mounting face. The electrically conductive surface layer is a patterned metal layer that includes a lateral probing region and a laser mounting region to which a laser is soldered. The laser mounting region is connected to the lateral probing region by a bridge portion of the patterned metal layer. The laser mounting region is otherwise separated from the lateral probing region by a solder blocking gap in which the submount lacks the patterned metal layer, and which is adjacent to the laser. The solder blocking gap defines a solder blocking gap height normal to the mounting face that is in the range of ?rds to ?ths of a total height of the laser mounting region.