Abstract: A semiconductor device structure is provided. The semiconductor device structure includes a source/drain feature on a semiconductor fin structure, a first isolation structure surrounding the semiconductor fin structure, source/drain spacers on the first isolation structure and surrounding a lower portion of the source/drain feature, a dielectric fin structure adjoining and in direct contact with the first isolation structure and one of the source/drain spacers, and an interlayer dielectric layer over the source/drain spacers and the dielectric fin structure and surrounding an upper portion of the source/drain feature.

Abstract: A first fin structure is disposed over a substrate. The first fin structure contains a semiconductor material. A gate dielectric layer is disposed over upper and side surfaces of the first fin structure. A gate electrode layer is formed over the gate dielectric layer. A second fin structure is disposed over the substrate. The second fin structure is physically separated from the first fin structure and contains a ferroelectric material. The second fin structure is electrically coupled to the gate electrode layer.

Abstract: A voltage tracking circuit is provided. The voltage tracking circuit includes first and second P-type transistors and a control circuit. The drain of the first P-type transistor is coupled to a first voltage terminal. The gate and the drain of the second P-type transistor are respectively coupled to the first voltage terminal and a second voltage terminal. The control circuit is coupled to the first and second voltage terminals and generates a control voltage according to the first voltage and the second voltage. The sources of the first and second P-type transistors are coupled to an output terminal of the voltage tracking circuit, and the output voltage is generated at the output terminal. In response to the second voltage being higher than the first voltage, the control circuit generates the control signal to turn off the first P-type transistor.

Abstract: Devices and method for forming a shielding assembly including a first chip package structure sensitive to magnetic interference (MI), a second chip package structure sensitive to electromagnetic interference (EMI), and a shield surrounding sidewalls and top surfaces of the first chip package structure and the second chip package structure, in which the shield is a magnetic shielding material. In some embodiments, the shield may include silicon steel, in some embodiments, the shield may include Mu-metal. The silicon-steel-based or Mu-metal-based shield may provide both EMI and MI protection to multiple chip package structures with various susceptibilities to EMI and MI.

Abstract: A device includes: a stack of semiconductor nanostructures; a gate structure wrapping around the semiconductor nanostructures, the gate structure extending in a first direction; a source/drain region abutting the gate structure and the stack in a second direction transverse the first direction; a contact structure on the source/drain region; a backside conductive trace under the stack, the backside conductive trace extending in the second direction; a first through via that extends vertically from the contact structure to a top surface of the backside dielectric layer; and a gate isolation structure that abuts the first through via in the second direction.

Abstract: A magnetoresistive random access memory (MRAM) device includes a first array region and a second array region on a substrate, a first magnetic tunneling junction (MTJ) on the first array region, a first top electrode on the first MTJ, a second MTJ on the second array region, and a second top electrode on the second MTJ. Preferably, the first top electrode and the second top electrode include different nitrogen to titanium (N/Ti) ratios.

Abstract: An optical system affixed to an electronic apparatus is provided, including a first optical module, a second optical module, and a third optical module. The first optical module is configured to adjust the moving direction of a first light from a first moving direction to a second moving direction, wherein the first moving direction is not parallel to the second moving direction. The second optical module is configured to receive the first light moving in the second moving direction. The first light reaches the third optical module via the first optical module and the second optical module in sequence. The third optical module includes a first photoelectric converter configured to transform the first light into a first image signal.

Abstract: A detection system and method for the migrating cell is provided. The system is configured to detect a migrating cell combined with an immunomagnetic bead. The system includes a platform, a microchannel, a magnetic field source, a coherent light source and an optical sensing module. The microchannel is configured to allow the migrating cell to flow in it along a flow direction. The magnetic field source is configured to provide magnetic force to the migrating cell combined with the immunomagnetic bead. The magnetic force includes at least one magnetic force component and the magnetic force component is opposite to the flow direction of the microchannel. The coherent light source is configured to provide the microchannel with the coherent light. The optical sensing module is configured to receive the interference light caused by the coherent light being reflected by the sample inside the microchannel.

Abstract: The present disclosure provides a method of forming a semiconductor device including an nFET structure and a pFET structure where each of the nFET and pFET structures include a semiconductor substrate and a gate trench. The method includes depositing an interfacial layer in each gate trench, depositing a first ferroelectric layer over the interfacial layer, removing the first ferroelectric layer from the nFET structure, depositing a metal oxide layer in each gate trench, depositing a second ferroelectric layer over the metal oxide layer, removing the second ferroelectric layer from the pFET structure, and depositing a gate electrode in each gate trench.

Abstract: A magnetoresistive random access memory (MRAM) structure, including a substrate and multiple MRAM cells on the substrate, wherein the MRAM cells are arranged in a memory region adjacent to a logic region. An ultra low-k (ULK) layer covers the MRAM cells, wherein the surface portion of ultra low-k layer is doped with fluorine, and dents are formed on the surface of ultra low-k layer at the boundaries between the memory region and the logic region.

Abstract: A body information analysis apparatus (1) and a method of simulating face shape by using same are provided. The method includes reading a predetermined value of a face shape variable from a memory (17) wherein the face shape variable corresponds to one of a plurality of target face shapes; causing an image fetching module (12) to take a picture and converting same into a digital image; causing a processing unit (10) to identify a face (6) in the digital image and position a plurality of parts of the face (6); determining an original face shape of the face (6) based on the plurality of parts thereof; performing deformation on the face (6) based on the original face shape thereof to generate a simulated face image (80) wherein a face shape variable of the simulate face image (80) complies with the predetermined value; and outputting the simulated face image (80).

Abstract: A medical image analysis method applying machine learning and system thereof are provided. The medical image analysis system includes a cloud server and an electronic device. The cloud server stores a deep learning module and an artificial intelligence model. The medical image analysis method includes the following steps. Correction data is inputted to the deep learning module so that the deep learning module corrects the artificial intelligence model according to the correction data to generate a corrected artificial intelligence model. Furthermore, medical image data is inputted to the electronic device, and the electronic device provides the medical image data to the cloud server to analyze the medical image data through the corrected artificial intelligence model and generates analysis result data.

Abstract: The invention provides a skin aging state assessment method and an electronic device. The method includes: acquiring a first image and a second image; acquiring a characteristic parameter of the first image and a characteristic parameter of the second image; acquiring an aging parameter according to the characteristic parameter of the first image and the characteristic parameter of the second image; and deciding an aging assessment result corresponding to the first image according to the aging parameter. The skin state detection method of the invention makes it possible to use two face images captured at different times to acquire the skin aging condition of the face images.

Abstract: A spine image registration method includes: obtaining a CT image and an MRI image corresponding to a spine; inputting the CT image into a first model to identify at least one first vertebral body of the spine in the CT image; inputting the MRI image to a second model to identify at least one second vertebral body of the spine in the MRI image; marking the first vertebral body with at least one first landmark and marking the second vertebral body with at least one second landmark; matching the first landmark with the second landmark to obtain a corresponding relationship; performing a registration on the CT image and the MRI image according to the corresponding relationship, and generating a registered image according to the content of the CT image and the content of the MRI image located in the same coordinate space; and outputting the registered image.

Abstract: Disclosures of the present invention describe a cross-staining and multi-biomarker method for assisting in cancer diagnosis. The method is configured to firstly divide a plurality of image frames of tissue slices to a group of H&E-stained slide images and a group of IHC-stained slide images. Subsequently, an image registration and fusion process is applied to at least two cross-stained slide images consisting of at least one H&E-stained slide image and at least one IHC-stained slide image, thereby producing a plurality of cross-stained slide images. Consequently, by applying a carcinoma identifying and quantifying analysis to the cross-stained slide images, the type of cancerous lesions contained by the tested tissue sample can be diagnosed effectively and accurately, without any human-made judgements.

Abstract: A body information analysis apparatus and a method of detecting face shape by using same are provided. The apparatus includes an image fetching module; a display module; a processing unit including a face analysis module for positioning two eyebrows, a mouth and first features of a face contour in response to an identified face wherein the first features are at two sides of the face respectively; a first calculation module for calculating a vertical distance between the mouth and either eyebrow and taking same as a first distance, calculating a horizontal distance between the first features and taking same as a second distance, and calculating a first ratio of the first distance to the second distance; a face detection module for determining the face shape; and an information creation module.

Abstract: A skin condition detection method and an electronic device are provided. The method includes: acquiring a first image; performing at least one skin condition detection on the first image to acquire at least one first characteristic value; acquiring at least one second characteristic value acquired through the skin condition detection in the second image; determining whether a skin condition in the first image has changed with respect to a skin condition in the second image according to the first characteristic value and the second characteristic value; and if the skin condition in the first image has changed with respect to the skin condition in the second image, outputting notification information to indicate that the skin condition in the first image has changed with respect to the skin condition in the second image. The invention makes it possible to effectively and clearly determine change of the skin condition.

Abstract: A skin care evaluation method, which is adapted for an electronic device to evaluate a skin care procedure including a plurality of skin care behaviors. The skin care evaluation method includes following steps. A plurality of image information is sequentially captured at a plurality of image capturing time. A plurality of user actions corresponding to the image information is analyzed, where a plurality of consecutive image information of the image information corresponds to one of the user actions. The image information is classified to the skin care behaviors according to the user action corresponding to each of the image information. Each of the skin care behaviors corresponds to a plurality of the user actions. A duration of each of the skin care behaviors is calculated according to the image capturing time of the image information classified to each of the skin care behaviors. An electronic device using the skin care evaluation method is also provided.

Abstract: A body information analysis apparatus (1) and method of analyzing hand skin by using same are provided. The method includes activating an image fetching module (12) of the body information analysis apparatus (1) to record an external image (61); activating a processing unit (10) of the body information analysis apparatus (1) to recognize one of a plurality of hand images (81, 82, 83, 84, 85, 86, 87, 88) in the external image (61); recognizing an image in one of the hand images (81, 82, 83, 84, 85, 86, 87, 88) corresponding to a defect; marking one of the hand images (81, 82, 83, 84, 85, 86, 87, 88) based on a location of the image having a defect; and activating a display module (111) of the body information analysis apparatus (1) to show the marked one of the hand images (81, 82, 83, 84, 85, 86, 87, 88).

Abstract: A body information analysis apparatus (1) and a method of simulating face shape by using same are provided. The method includes reading a predetermined value of a face shape variable from a memory (17) wherein the face shape variable corresponds to one of a plurality of target face shapes; causing an image fetching module (12) to take a picture and converting same into a digital image; causing a processing unit (10) to identify a face (6) in the digital image and position a plurality of parts of the face (6); determining an original face shape of the face (6) based on the plurality of parts thereof; performing deformation on the face (6) based on the original face shape thereof to generate a simulated face image (80) wherein a face shape variable of the simulate face image (80) complies with the predetermined value; and outputting the simulated face image (80).