Abstract: Transistors with improved saturation drain current and methods for making such transistors are disclosed. The gate is formed in the shape of a longitudinal trench and a plurality of lateral trenches below the longitudinal trench. The resulting dual-recess structure increases the surface area of the gate, which permits additional charge carriers and increases the saturation drain current of the transistor. Such transistors can be useful in high voltage and medium voltage applications such as in display driver integrated circuits.

Abstract: A method of local implicit normalizing flow for arbitrary-scale image super-resolution, an associated apparatus and an associated computer-readable medium are provided. The method applicable to a processing circuit may include: utilizing the processing circuit to run a local implicit normalizing flow framework to start performing arbitrary-scale image super-resolution with a trained model of the local implicit normalizing flow framework according to at least one input image, for generating at least one output image, where a selected scale of the output image with respect to the input image is an arbitrary-scale; and during performing the arbitrary-scale image super-resolution with the trained model, performing prediction processing to obtain multiple super-resolution predictions for different locations of a predetermined space in a situation where a same non-super-resolution input image among the at least one input image is given, in order to generate the at least one output image.

Abstract: Many unsupervised domain adaptation (UDA) methods have been proposed to bridge the domain gap by utilizing domain invariant information. Most approaches have chosen depth as such information and achieved remarkable successes. Despite their effectiveness, using depth as domain invariant information in UDA tasks may lead to multiple issues, such as excessively high extraction costs and difficulties in achieving a reliable prediction quality. As a result, we introduce Edge Learning based Domain Adaptation (ELDA), a framework which incorporates edge information into its training process to serve as a type of domain invariant information. Our experiments quantitatively and qualitatively demonstrate that the incorporation of edge information is indeed beneficial and effective, and enables ELDA to outperform the contemporary state-of-the-art methods on two commonly adopted benchmarks for semantic segmentation based UDA tasks.

Abstract: The present disclosure relates to a method for treating a cancer and/or cancer metastasis in a subject comprising administering to the subject irinotecan loaded in a mesoporous silica nanoparticle. The present disclosure also provides a conjugate comprising an agent loaded in a mesoporous silica nanoparticle (MSN) defining at least one pore and having at least one functional group on a sidewall of the at least one pore.

Abstract: A semiconductor device includes a substrate having a magnetic tunneling junction (MTJ) region and a logic region, a magnetic tunneling junction (MTJ) on the MTJ region and a first metal interconnection on the MTJ. Preferably, a top view of the MTJ includes a circle and a top view of the first metal interconnection includes an ellipse overlapping the circle.

Abstract: The present disclosure provides a time delay integration (TDI) sensor using a rolling shutter. The TDI sensor includes multiple pixel columns. Each pixel column includes multiple pixels arranged in an along-track direction, wherein two adjacent pixels or two adjacent pixel groups in every pixel column have a separation space therebetween. The separation space is equal to a pixel height multiplied by a time ratio of a line time difference of the rolling shutter and a frame period, or equal to a summation of at least one pixel height and a multiplication of the pixel height by the time ratio of the line time difference and the frame period. The TDI sensor further records defect pixels of a pixel array such that in integrating pixel data to integrators, the pixel data associated with the defect pixels is not integrated into corresponding integrators.

Abstract: A method and system is for receiving data representing gene clusters, the gene clusters including one or more genes configured to encode one or more polypeptides or other small molecules; accessing a machine learning model, the machine learning model being trained with a training dataset that associates the gene clusters to structures of one or more small molecules represented in the data; applying the machine learning model to the data representing the gene clusters; identifying, based on applying the machine learning model, one or more monomers associated with at least one gene cluster represented in the data; and determining a structure for a natural product including the one or more monomers.

Abstract: A method and system is for searching a database to identify structures of molecular compounds from mass spectrometry data. Operations of the method and system include receiving a query for a target molecular structure in the database, the query representing a query spectrum; accessing a machine learning model trained with molecule-spectrum pairs; inputting the query spectrum into the machine learning model; generating, from the machine learning model, a score for each of one or more molecular structures, each score representing a probability that a molecular structure corresponds to the query spectrum; selecting, based on each of the scores, a small molecule; and outputting, on a user interface, a representation of the small molecule.

Abstract: Two stages of PPP negotiations are adopted for users to access a virtual private network (VPN). The access concentrator for providing PPP connections is designed to provide the two-stage connection. In the first stage, a user is verified as an authenticated VPN user, and a first network address is assigned. In the second stage, a service requested by the authenticated user is decoded for determining either the service being a VPN service or a non-VPN service. If the service is a non-VPN service, the request is processed by reference to the network address. Otherwise, a second PPP negotiation is executed between the access concentrator and a server in a VPN, and then the server of the VPN assigns the user a VPN address for providing VPN service.