Abstract: A method can include receiving a low-resolution (LR) image, extracting a first feature embedding from the LR image, performing a first upsampling to the LR image by a first upsampling factor to generate a upsampled image, receiving a LR coordinate of a pixel within the LR image and a first cell size of the LR coordinate, generating a first residual image based on the first feature embedding, the LR coordinate, and the first cell size of the LR coordinate using a local implicit image function, and generating a first high-resolution (HR) image by combining the first residual image and the upsampled image via element-wise addition.

Abstract: A neural network restores a low-quality (LQ) image having a given degradation type. The neural network includes a series of adapter layers, each adapter layer including a pre-trained module in parallel with an adapter module. The pre-trained module has been trained in a pre-training phase by images having multiple degradation types, and the adapter module has been trained in a fine-tuning phase subsequent to the pre-training phase by images having the given degradation type. In each adapter layer, a first output of the pre-trained module and a second output of the adapter module are added together to produce an output of the adapter layer. The neural network generates a high-quality (HQ) image restored from the LQ image based on outputs of the adapter layers.

Abstract: A method for determining a probability of a kidney stone in a subject being a uric-acid (UA) stone includes steps of: establishing, by using a machine learning algorithm, a prediction model based on a plurality of training data sets that are related to a plurality of patients, each of the plurality of training data sets at least including an estimated glomerular filtration rate (eGFR) and a value of urine pH; and feeding an input variable set into the prediction model so as to obtain the probability of the kidney stone in the subject being a UA stone. The input variable set is related to the subject and including an eGFR and a value of urine pH of the subject.

Abstract: A method for establishing a model to determine whether a subject has nephrolithiasis includes: grouping training data sets into a number N of preliminary groups, where N is a positive integer; obtaining a number N of preliminary models based on the preliminary groups; averaging the preliminary models to obtain an average model; and obtaining a prediction model for determining whether the subject has nephrolithiasis based on the average model.

Abstract: A method can include receiving a low-resolution (LR) image, extracting a first feature embedding from the LR image, performing a first upsampling to the LR image by a first upsampling factor to generate a upsampled image, receiving a LR coordinate of a pixel within the LR image and a first cell size of the LR coordinate, generating a first residual image based on the first feature embedding, the LR coordinate, and the first cell size of the LR coordinate using a local implicit image function, and generating a first high-resolution (HR) image by combining the first residual image and the upsampled image via element-wise addition.

Abstract: The present invention provides a method of laminating a film for a dye-sensitized cell. First, a composite film is taken by a robotic arm, in which the composite film includes a release layer, a protective layer and a hot glue layer between the release layer and the protective layer, and the release layer is removed by the robotic arm. Then, the hot glue layer is precisely attached to a substrate by a target positioning step. Next, the protective layer is removed by the robotic arm.

Abstract: The present invention provides a method of laminating a film for a dye-sensitized cell. First, a composite film is taken by a robotic arm, in which the composite film includes a release layer, a protective layer and a hot glue layer between the release layer and the protective layer, and the release layer is removed by the robotic arm. Then, the hot glue layer is precisely attached to a substrate by a target positioning step. Next, the protective layer is removed by the robotic arm.

Abstract: A method for conversion treating a surface of a magnesium alloy workpiece includes the following steps: providing a magnesium alloy workpiece, degreasing the magnesium alloy workpiece, acid pickling the magnesium alloy workpiece in a first acid pickling treatment step, surface conditioning the magnesium alloy workpiece in a first surface conditioning treatment step, acid pickling the magnesium alloy workpiece in a second acid pickling treatment step, surface conditioning the magnesium alloy workpiece in a second surface conditioning treatment step, pre-phosphating the magnesium alloy workpiece in a pre-phosphating treatment step, and phosphating the magnesium alloy workpiece in a phosphating treatment step to form a phosphating film on the surface of the magnesium alloy workpiece.

Abstract: A method for conversion treating a surface of a magnesium alloy workpiece includes the following steps: providing a magnesium alloy workpiece, degreasing the magnesium alloy workpiece, acid pickling the magnesium alloy workpiece in a first acid pickling treatment step, surface conditioning the magnesium alloy workpiece in a first surface conditioning treatment step, acid pickling the magnesium alloy workpiece in a second acid pickling treatment step, surface conditioning the magnesium alloy workpiece in a second surface conditioning treatment step, pre-phosphating the magnesium alloy workpiece in a pre-phosphating treatment step, and phosphating the magnesium alloy workpiece in a phosphating treatment step to form a phosphating film on the surface of the magnesium alloy workpiece.

Abstract: An apparatus for converting ultraviolet (UV) light into electricity is disclosed. It includes a UV-light-into-electricity conversion device and an electricity storage. The welding operation zone has a welding apparatus for welding a workpiece. This welding apparatus generates strong UV light during a welding operation. The UV-light-into-electricity conversion device can absorb the UV light and then convert into electricity. Finally, the electricity storage stores the electricity generated by the UV-light-into-electricity conversion device. Hence, it can convert the harmful UV light into useable electricity. The entire structure of this invention is simple. In addition, it is suitable for a fixed operation zone or a movable operation zone during a welding operation.