Abstract: A method for multi-link operation (MLO) is provided. The method for MLO may be applied to an apparatus. The method for MLO may include the following steps. A multi-chip controller of the apparatus may assign different data to a plurality of chips of the apparatus, wherein each chip corresponds to one link of multi-links. Each chip may determine whether transmission of the assigned data has failed. A first chip of the chips may transmit the assigned data to an access point (AP) in response to the first chip determining that the transmission of the assigned data has not failed.

Abstract: A chip package includes a substrate, a semiconductor chip, and a thermal conductive structure. The chip package includes a first and a second support structures below the thermal conductive structure. The first and the second support structures connect the substrate and corners of the thermal conductive structure. The thermal conductive structure has a side edge connecting the first and the second support structures. The first and the second support structures and the side edge together define of an opening exposing a space surrounding the semiconductor chip. The first and the second support structures are disposed along a side of the substrate. The first support structure is laterally separated from the side of the substrate by a first lateral distance. The side edge of the thermal conductive structure is laterally separated from the side of the substrate by a second lateral distance different than the first lateral distance.

Abstract: A method for predicting clinical severity of a neurological disorder includes steps of: a) identifying, according to a magnetic resonance imaging (MRI) image of a brain, brain image regions each of which contains a respective portion of diffusion index values of a diffusion index, which results from image processing performed on the MRI image; b) for one of the brain image regions, calculating a characteristic parameter based on the respective portion of the diffusion index values; and c) calculating a severity score that represents the clinical severity of the neurological disorder of the brain based on the characteristic parameter of the one of the brain image regions via a prediction model associated with the neurological disorder.

Abstract: Disclosed herein are humanized antibodies, antigen-binding fragments thereof, and antibody conjugates, that are capable of specifically binding to certain biantennary Lewis antigens, which antigens are expressed in a variety of cancers. The presently disclosed antibodies are useful to target antigen-expressing cells for treatment or detection of disease, including various cancers. Also provided are polynucleotides, vectors, and host cells for producing the disclosed antibodies and antigen-binding fragments thereof. Pharmaceutical compositions, methods of treatment and detection, and uses of the antibodies, antigen-binding fragments, antibody conjugates, and compositions are also provided.

Abstract: A method and an image processing device for image enhancement are proposed. The method includes the following steps. An input image is received. A curve set is applied on the input image to generate a resultant image, where the curve set includes a plurality pairs of weight functions and process functions, where a summation of a multiplication of the weight function and the process function in each of the pairs is zero, and where the weight function in each of the pairs is associated with low-pass filtering. An output image is generated according to the resultant image and the input image.

Abstract: A back-end method for photomask making generally includes the steps of inspecting a photomask and repairing each defect on the photomask. The step of inspecting the photomask preferably comprises a defect finder mark implementation routine. In general, when inspecting the photomask for defects, the defect finder mark implementation routine deposits a defect finder mark on the photomask via a mark installer (not shown) included with a mask marking inspection system. Deposition of the defect finder mark includes establishing a location that is adjacent to the defect and establishing a size that is detectable by a mask repair device (not shown). By deposition on the photomask, the defect finder mark reliably facilitates location of the corresponding defect despite variations in image resolution and stage movement between the mask marking inspection system and the mask repair device.

Abstract: A back-end method for photomask making generally includes the steps of inspecting a photomask and repairing each defect on the photomask. The step of inspecting the photomask preferably comprises a defect finder mark implementation routine. In general, when inspecting the photomask for defects, the defect finder mark implementation routine deposits a defect finder mark on the photomask via a mark installer (not shown) included with a mask marking inspection system. Deposition of the defect finder mark includes establishing a location that is adjacent to the defect and establishing a size that is detectable by a mask repair device (not shown). By deposition on the photomask, the defect finder mark reliably facilitates location of the corresponding defect despite variations in image resolution and stage movement between the mask marking inspection system and the mask repair device.