Abstract: Embodiments of the present disclosure provide a method including forming a gate electrode over a substrate, forming a ferroelectric layer over the gate electrode, forming a channel layer over the ferroelectric layer, forming a capping layer over the channel layer, wherein the capping layer includes one or more of CeOx, BeOx, InOx, GaOx, AlOx, SnOx, VOx, WOx, TiOx, ZrOx, NbOx, HfOx, SiOx, TaOx, a binary metal oxide based on any combination of the preceding metal oxides, or a ternary metal oxide based on any combination of the preceding metal oxides, annealing, after forming the capping layer, at a temperature less than 350° C., forming a dielectric layer over the capping layer, and forming a source contact and a drain contact in the dielectric layer.

Abstract: The present invention relates to crystal forms of A, B, C, D, E, F and G of selumetinib sulfate and the preparation method thereof. The crystal forms A, B and F of selumetinib sulfate are obtained by adding 6-(4-Bromo-2-chloro-phenylamino)-7-fluoro-3-methyl-3H-benzoimidazole-5-carboxylic acid (2-vinyloxy-ethoxy)-amide (SEL-3) into an organic solvent; further, crystal form A of selumetinib sulfate can be as a raw material to prepare crystal forms C, D and E of selumetinib sulfate, and crystal form C of selumetinib sulfate can be as a raw material to prepare crystal form G of selumetinib sulfate.

Abstract: A resin composition includes ABS resin and modified polyester resin, where the modified polyester resin includes a polyester material, a compatibilizer, a toughening agent, a crystallization inhibitor, a slip agent, and an antioxidant. The compatibilizer includes PP-MA, PE-MA, ABS-MA, E-MA-GMA, E-VA-GMA, POE-GMA, PE-GMA, ABS-GMA, or combinations thereof. The toughening agent includes POE, MBS, PTW, or combinations of the above. The crystallization inhibitor includes IPA copolyester, IPA and CHDM copolyester, PETG, PCTG, or combinations of the above. The slip agent includes stearate, polyethylene wax, modified silicone, fluororesin, or combinations thereof. The antioxidant includes a hindered phenolic antioxidant, a phenolic antioxidant, a phosphite antioxidant, or combinations of the above.

Abstract: A distributed data processing system and a distributed data processing method are provided. The distributed data processing system includes a computing device and at least one additional computing device.

Abstract: A system and a method for presenting three-dimensional content and a three-dimensional content calculation apparatus are provided. In the method, the calculation apparatus receives a request for presentation content including one or more images from a client device, receives the presentation content from a content delivery network according to the request, processes the images using a first machine-learning model to generate a first predicted result, processes the images using multiple machine-learning models to generate at least a second predicted result and a third predicted result, selects a second machine-learning model from the machine-learning models based on a comparison of the first predicted result with the at least the second predicted result and the third predicted result, processes the images using the second machine-learning model and sends a processing result to the client device. Accordingly, the client device generates a three-dimensional presentation of the presentation content.

Abstract: Systems and methods are described for selecting models to perform monocular depth estimation. A computing device may receive a plurality of image and select an image from the plurality of images to evaluate a first machine-learning model and a plurality of machine-learning models are smaller than the first machine-learning model. The computing device may process the image using a first machine-learning model to generate a first predicted result. The computing device may also process the image using the plurality of machine-learning models to generate at least a second predicted result and a third test data set. The computing device may select a second machine-learning model from the plurality of machine-learning models based on a comparison of the first predicted result with the at least the second predicted result and the third test data set. The computing device may then process the plurality of images using the second machine-learning model.

Abstract: A display apparatus is adapted to display on at least one of a first display surface and a second display surface, and includes a display panel, an optical path selection module, and at least one reflective element. The display panel is provided with the first display surface, and is adapted to emit an image beam. The optical path selection module is disposed on a transmission path of the image beam. The image beam transmitted along a first optical path after passing through the optical path selection module is adapted to display a first image on the first display surface. The image beam transmitted along a second optical path after passing through the optical path selection module is adapted to display a second image on the second display surface. The first image is different from the second image. The at least one reflective element is disposed on the second optical path.

Abstract: A light field display apparatus includes a display element and a switching element. The display element has a plurality of pixels. The switching element is disposed on the display element. The switching element includes a polarizer, a liquid crystal layer, and a metalens array. The metalens array has a plurality of metalens units overlapping the plurality of pixels. The polarizer, the liquid crystal layer, and the metalens array are sequentially disposed on the plurality of pixels of the display element.

Abstract: A liquid cooling device comprises a cabinet, a liquid flowing unit, a liquid tray, and a liquid sensor. The cabinet is configured for containing an electronic component. The liquid flowing unit comprises a plurality of liquid delivery pieces connected and configured for circulating coolant to cool the electronic component. The liquid tray defines a confluence groove configured for gathering the coolant leaking from two connected ones of the plurality of liquid delivery pieces. The liquid sensor is placed in the confluence groove and is configured for sending a signal when contacting with the coolant. When the coolant leaks from two connected ones of the plurality of liquid delivery pieces then drops on the liquid tray and flows into the confluence groove by gravity, the liquid sensor contacts with the coolant in the confluence groove and sends the signal. A server with the liquid cooling device is also disclosed.

Abstract: The invention provides a system and a method thereof for establishing an extubation prediction using a machine learning model capable of obtaining an extubation prediction model and key features used by the extubation prediction model through training and/or verification of a machine learning model, and analyzing key feature data of a patient in real time through the extubation prediction model in order to obtain a possibility of extubation of the patient and its related explanation. Accordingly, the system and the method thereof for establishing the extubation prediction using the machine learning model disclosed in the invention are used as a tool for clinical caregivers to evaluate extubation in order to reduce a possibility of reintubation due to inability to breathe spontaneously after extubation.

Abstract: Various embodiments of the present disclosure are directed towards a microelectromechanical system (MEMS) device. The MEMS device includes a dielectric structure disposed over a first semiconductor substrate, where the dielectric structure at least partially defines a cavity. A second semiconductor substrate is disposed over the dielectric structure. The second semiconductor substrate includes a movable mass, where opposite sidewalls of the movable mass are disposed between opposite sidewall of the cavity. An anti-stiction structure is disposed between the movable mass and the dielectric structure, where the anti-stiction structure is a first silicon-based semiconductor.

Abstract: A server stand with an inbuilt leakproof connecting device for coolant flow includes a frame body and a manifold. The frame body and the manifold are fixed together, the manifold has a connecting end. The server stand further includes first positioning structure and mounting assembly. The first positioning structure connects with the manifold, and the first positioning structure is near the connecting end. A bracket with blocking portion and a second positioning structure are also included, the second positioning structure can slide into connection with the first positioning structure, and the second and first positioning structures function to pre-position the bracket, the bracket being fixedly connected with the frame body. The server assembly includes a server host and an operating lever, the server host is movably connected with the operating lever.

Abstract: An apparatus for manufacturing a semiconductor device may include a chamber, a chuck provided in the chamber, and a biased power supply physically connected with the chuck. The apparatus may include a target component provided over the chuck and the biased power supply, and a magnetron assembly provided over the target component. The magnetron assembly may include a plurality of outer magnetrons and a plurality of inner magnetrons, and a spacing between each adjacent magnetrons of the plurality of outer magnetrons may be different from a spacing between each adjacent magnetrons of the plurality of inner magnetrons.

Abstract: In example implementations, an apparatus is provided. The apparatus includes an expansion slot, a peripheral device connected to the expansion slot, and a processor communicatively coupled to the expansion slot. The processor is to determine that a compatibility of the peripheral device with active state power management (ASPM) is unknown, provide a notification to indicate that the compatibility of the peripheral device with ASPM is unknown, wherein the notification provides a selection between disabling ASPM for the peripheral device or enabling ASPM for the peripheral device, and configure a basic input/output system (BIOS) setting in accordance with the selection to control the ASPM for the peripheral device.

Abstract: A method for forming a semiconductor device is provided.

Abstract: A polyester film includes a first layer, a second layer, and a third layer. The first layer includes a first recycled material. The second layer includes a second recycled material. Both the first recycled material and the second recycled material are a PET bottle recycled material. The third layer is disposed between the first layer and the second layer. The third layer includes a third recycled material, and the third recycled material includes a release film recycled material.

Abstract: An electronic device is provided. The electronic device includes a frame, a backlight module, a working panel, and a spacer. The backlight module is disposed in the frame. The working panel is disposed on the frame. The spacer is disposed between the frame and the working panel. At least a portion of the working panel and at least a portion of the spacer are in direct contact with an adhesive.

Abstract: Various embodiments of the present disclosure are directed towards an integrated chip (IC) including a substrate. A plurality of adhesive structures is disposed on the substrate. A microelectromechanical systems (MEMS) structure is disposed on the adhesive structures. The MEMS structure comprises a movable element disposed within a cavity. A first plurality of stopper bumps is disposed between the movable element and the substrate.

Abstract: A RACH-less HO method for a UE in a NTN system is provided, including: receiving a HO command from a source cell, wherein the HO command includes a RACH-less HO configuration and a RACH-based HO configuration associated with one of cells of the NTN system, wherein the RACH-less HO configuration includes a RACH-less available time and a UL transmission resource; determining a target cell according to the at least one cell configured by the HO command; performing a UL resource selection procedure to obtain a target UL transmission resource associated with the target cell for performing a target UL transmission to the target cell; performing a HO confirmation procedure with the target cell by applying a UL timing adjustment information associated with the target UL transmission resource to perform the target UL transmission to the target cell.

Abstract: A semiconductor device comprises a first conductive feature on a semiconductor substrate, a bottom electrode on the first conductive feature, a magnetic tunnel junction (MTJ) stack on the bottom electrode, and a top electrode on the MTJ stack. A spacer contacts a sidewall of the top electrode, a sidewall of the MTJ stack, and a sidewall of the bottom electrode. A conductive feature contacts the top electrode.