Abstract: The invention provides ester derivatives of rhamnolipids, formulations comprising these, and the use thereof.

Abstract: A packaged wafer processing method includes a processing step of processing each division line formed on a packaged wafer by using a laser beam applying unit and a feeding mechanism, and indexing the wafer by a preset index amount “a” corresponding to the pitch of the division lines by using an indexing mechanism, thereby forming a laser processed groove along each division line. A correcting step images the next division line to be processed in an exposed peripheral portion of the wafer and the laser processed groove just formed along the present division line, at any arbitrary time during the processing step. The distance “b” between the next division line and the laser processed groove just formed is determined, and then a correction index amount “c” is calculated by using the deviation corresponding to the difference (a?b) between the preset index amount “a” and the distance “b”.

Abstract: Facial skin mask generated by a digital content creation system is described. The digital content creation system includes digital effects on skin in facial regions of digital content with efficiency and accuracy. Upon identifying a facial region within digital content, the system generates a first regional skin mask, a second regional skin mask, and combines both of the first and second regional skin masks to generate a facial skin mask indicative of skin of the identified facial regions depicted in digital content. The digital content creation system then modifies digital content by applying user selected digital effects to the skin of the facial region using the generated facial skin mask.

Abstract: A wafer processing method is used in processing a wafer including a device area and a peripheral marginal area surrounding the device area. The device area has a plurality of devices and an electrode connected to each device. The wafer processing method includes the steps of cutting a first area of the peripheral marginal area, fixing the front side of the wafer through an adhesive to a carrier substrate, grinding a back side of the wafer, supplying a chemical solution to the back side of the wafer to thereby etch the wafer such that the electrode projects from the back side of the wafer, forming an insulating film on the back side of the wafer, cutting a second area of the peripheral marginal area, the second area being not in contact with the adhesive, thereby removing the second area, and polishing the insulating film.

Abstract: Predicting patch displacement maps using a neural network is described. Initially, a digital image on which an image editing operation is to be performed is provided as input to a patch matcher having an offset prediction neural network. From this image and based on the image editing operation for which this network is trained, the offset prediction neural network generates an offset prediction formed as a displacement map, which has offset vectors that represent a displacement of pixels of the digital image to different locations for performing the image editing operation. Pixel values of the digital image are copied to the image pixels affected by the operation by: determining the vectors pixels that correspond to the image pixels affected by the image editing operation and mapping the pixel values of the image pixels represented by the determined offset vectors to the affected pixels.

Abstract: A processing method for a wafer having a chamfered portion on an outer circumference thereof includes a step of irradiating a laser beam of a transmission wavelength to the wafer along an outer circumferential edge of the wafer at a position on an inner side of a predetermined distance from the outer circumferential edge of the wafer to form an annular modified region having a depth from a front face of the wafer to a finish thickness, a step of irradiating a laser beam of a transmission wavelength to the wafer on an outer circumferential portion of the wafer to radially form a plurality of modified regions having the depth from the front face of the wafer to the finish thickness on the outer circumferential portion of the wafer, and a step of grinding a back face of the wafer to thin the wafer to the finish thickness.

Abstract: A zero discharge process for separating sludge and salt from desulfurization wastewater includes a pretreatment process, a membrane treatment process and an evaporative crystallization process; in the pretreatment process, the desulfurization wastewater enters a raw water tank, an aeration fan introduces compressed air into the raw water tank, and the wastewater is lifted to first-stage reaction and clarification by a raw water pump; in the membrane treatment process, the incoming wastewater is first filtered by ultrafiltration, then enters a pH adjustment tank, and is pumped into a nanofiltration membrane separation system and a reverse osmosis membrane separation system; in the evaporative crystallization process, the incoming wastewater is first subjected to two-stage preheating, then enters a degasser, and finally enters an evaporative concentration system and a crystallization system.

Abstract: A process for preparing 2,5-furandicarboxylic acid includes the steps of: subjecting an 5-acyloxymethyl-furfural compound to an oxidation reaction with an oxygen-containing gas in the presence of a basic aqueous solution and an oxidation catalyst containing a metal selected from the group consisting of ruthenium, rhodium, palladium, and combinations thereof to form an aqueous solution containing 2,5-furandicarboxylate, and converting the 2,5-furandicarboxylate to 2,5-furandicarboxylic acid.

Abstract: This present invention provides an automatic pot seedlings feeding mechanism for semi-automatic transplanter, comprising a transmission mechanism, a slider-crank mechanism, a stop lever, a side plate, a resetting mechanism and a bearing with bearing support. The transmission mechanism includes a transmission shaft I, a driving wheel, a transmission shaft II, a transmission shaft III and a conveyor belt. Under the performance of the conveyor belt, the pot seedlings are transported forward to the position of the stop lever. The slider-crank mechanism comprises a crank, a slider bar and a sliding chute, the crank and the driving wheel are connected through a revolute pair A, which is on the driving wheel, but not at the center of the driving wheel. The slider is securely connected with the resetting mechanism.

Abstract: The invention provides an assay for identifying a bacterium capable of binding elemental heavy metal, comprising the following steps: cultivating a test bacterium in a suitable first culture medium; immersing at least a surface portion of a test tool into the first culture medium for a second predetermined period of time, said surface portion being coated by elemental heavy metal, respectively; removing said test tool from said first culture medium and optionally rinsing the test tool; contacting a second culture medium with the surface portion coated by elemental heavy metal of said test tool removed in the previous step; and identifying the test bacterium as being capable of binding elemental heavy metal from growth of the test bacterium in said second culture medium.

Abstract: Digital image completion using deep learning is described. Initially, a digital image having at least one hole is received. This holey digital image is provided as input to an image completer formed with a framework that combines generative and discriminative neural networks based on learning architecture of the generative adversarial networks. From the holey digital image, the generative neural network generates a filled digital image having hole-filling content in place of holes. The discriminative neural networks detect whether the filled digital image and the hole-filling digital content correspond to or include computer-generated content or are photo-realistic. The generating and detecting are iteratively continued until the discriminative neural networks fail to detect computer-generated content for the filled digital image and hole-filling content or until detection surpasses a threshold difficulty.

Abstract: A data privilege control method includes configuring user metadata, dynamically configuring user classification according to the user metadata, dynamically configuring data read and write privilege according to the user classification, receiving a user access request, obtaining the user attributes and determining the user classification according to the user attributes, determining whether the user has a data read and write privilege according to the user classification, and authorizing the user's data read and write operations when it is determined that the user has data read and write privilege. The user metadata includes a number of user attributes.

Abstract: Systems and methods are disclosed for segmenting a digital image to identify an object portrayed in the digital image from background pixels in the digital image. In particular, in one or more embodiments, the disclosed systems and methods use a first neural network and a second neural network to generate image information used to generate a segmentation mask that corresponds to the object portrayed in the digital image. Specifically, in one or more embodiments, the disclosed systems and methods optimize a fit between a mask boundary of the segmentation mask to edges of the object portrayed in the digital image to accurately segment the object within the digital image.

Abstract: A method for diagnosing faults in products of one type includes determining a fault type of the products and all of the underlying reasons for the fault which correspond to the fault type. A probability of each underlying reason is calculated and a decision tree is constructed, a root node of the decision tree being the determined fault type and all the underlying reasons being child nodes of the root node. When the decision tree is solved, the underlying reasons for the fault of that type of product can be presented.

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media that automatically select an image from a plurality of images based on the multi-context aware rating of the image. In particular, systems described herein can generate a plurality of probability context scores for an image. Moreover, the disclosed systems can generate a plurality of context-specific scores for an image. Utilizing each of the probability context scores and each of the corresponding context-specific scores for an image, the disclosed systems can generate a multi-context aware rating for the image. Thereafter, the disclosed systems can select an image from the plurality of images with the highest multi-context aware rating for delivery to the user. The disclosed system can utilize one or more neural networks to both generate the probability context scores for an image and to generate the context-specific scores for an image.

Abstract: The present disclosure includes systems, methods, and computer readable media, that identify one or more scene categories that correspond to digital images. In one or more embodiments, disclosed systems analyze a digital image to determine, for each of a plurality of object tags, a probability that the object tag associates with the digital image. The systems further determine, for each of the plurality of object tags, a similarity score for each of a plurality of scene categories (e.g., a similarity between each object tag and each scene category). Using the object tag probabilities and the similarity scores, the disclosed systems determine a probability, for each scene category, that the digital image pertains to the scene category. Based on the determined probabilities, the disclosed systems are able to identify an appropriate scene category for the digital image.

Abstract: The invention provides a process of isolating or enriching a heavy metal present in a suspension containing a particulate mineral ore containing a heavy metal, comprising the following steps: incubating a suspension containing (i) a particulate mineral ore containing a heavy metal and (ii) biomass comprising a bacterium capable of binding the heavy metal; separating the biomass having bound heavy metal from the suspension of the previous step; and isolating the heavy metal from the biomass separated in the previous step.

Abstract: Digital image completion by learning generation and patch matching jointly is described. Initially, a digital image having at least one hole is received. This holey digital image is provided as input to an image completer formed with a dual-stage framework that combines a coarse image neural network and an image refinement network. The coarse image neural network generates a coarse prediction of imagery for filling the holes of the holey digital image. The image refinement network receives the coarse prediction as input, refines the coarse prediction, and outputs a filled digital image having refined imagery that fills these holes. The image refinement network generates refined imagery using a patch matching technique, which includes leveraging information corresponding to patches of known pixels for filtering patches generated based on the coarse prediction. Based on this, the image completer outputs the filled digital image with the refined imagery.

Abstract: In some embodiments, techniques for synthesizing an image style based on a plurality of neural networks are described. A computer system selects a style image based on user input that identifies the style image. The computer system generates an image based on a generator neural network and a loss neural network. The generator neural network outputs the synthesized image based on a noise vector and the style image and is trained based on style features generated from the loss neural network. The loss neural network outputs the style features based on a training image. The training image and the style image have a same resolution. The style features are generated at different resolutions of the training image. The computer system provides the synthesized image to a user device in response to the user input.

Abstract: The present disclosure relates to training and utilizing an image exposure transformation network to generate a long-exposure image from a single short-exposure image (e.g., still image). In various embodiments, the image exposure transformation network is trained using adversarial learning, long-exposure ground truth images, and a multi-term loss function. In some embodiments, the image exposure transformation network includes an optical flow prediction network and/or an appearance guided attention network. Trained embodiments of the image exposure transformation network generate realistic long-exposure images from single short-exposure images without additional information.