Abstract: The present invention provides a method for segmenting lipid droplets that includes: inputting a pathological slice image into a machine learning model to output a region map and an boundary map, in which the region map includes multiple regional probability values, and the boundary map includes multiple boundary probability values; and segmenting multiple lipid droplets from the pathological slice image according to the regional probability values and the boundary probability values.

Abstract: A construction method of ribosomal RNA database is provided, including the following steps: selecting a source of nucleic acid sequence database; performing normalization and homogenization on species classification rules; using AI technology for normalized classification and correction; selecting the kingdom to which the sequence species belongs; filtering out redundant sequences and sequences with inconsistent lengths; setting a threshold for unknown bases other than A, T, C or G, and excluding unknown bases that exceed the threshold; and excluding sequences with insufficient classification information.

Abstract: A brain tumor types distinguish system includes an image outputting device and a server computing device. The image outputting device outputs at least three brain images captured from the position of a brain tumor. The server computing device pre-stores a plurality of distinguish pathways corresponding to different types of brain tumors. The server computing device includes an image receiving module, an image pre-processing module, a data comparison module and a distinguish module. The image receiving module receives the brain images. The image pre-processing module pre-processes the brain images to obtain corresponding processed images thereof. The data comparison module compares the brain images and the processed images with the distinguish pathways to obtain at least three comparison results. The distinguish module statistically analyzes the comparison results to obtain a distinguish result.

Abstract: An in-memory computation device and computation method are provided. The in-memory computation method includes: providing a memory cell block of a memory cell array to store a plurality of weight values, and providing a plurality of memory cells on the memory cell block to store a plurality of corresponding bits of each of the weight values; respectively transmitting a plurality of input signals to the plurality of bit lines through an input buffer; providing the plurality of memory cells to perform a multiplication operation of the plurality of input signals and the plurality of weight values to generate a plurality of first operation results respectively corresponding to a plurality of bit orders; and performing an addition operation on the plurality of first operation results to generate a second operation result according to the plurality of bit orders by a sense amplifier.

Abstract: A semiconductor device includes a semiconductor substrate, a plurality of isolation structures on the semiconductor substrate, and a plurality of blocking structures disposed directly over the isolation structures. The blocking structures have a lower reflectivity than the isolation structures.

Abstract: A system for quantitative differential phase contrast microscopy with isotropic transfer function utilizes a modulation mechanism to create a detection light field having a radial or other axial orientation of optical intensity gradient or other distribution. A condenser generates an off-axis light field to project onto an object under examination, thereby generating an object light field, which is then guided to an image capturing device through an objective lens for capturing images. A differential phase contrast algorithm is applied to the images for obtaining a phase, thereby a depth information corresponding to the phase can be obtained to reconstruct the surface profile of the object.

Abstract: The application provides a content addressable memory (CAM) memory device, a CAM memory cell and a method for searching and comparing data thereof. The CAM memory device includes: a plurality of CAM memory cells; and an electrical characteristic detection circuit coupled to the CAM memory cells; wherein in data searching, a search data is compared with a storage data stored in the CAM memory cells, the CAM memory cells generate a plurality of memory cell currents, the electrical characteristic detection circuit detects the memory cell currents to generate a plurality of sensing results, or the electrical characteristic detection circuit detects a plurality of match line voltages on a plurality of match lines coupled to the CAM memory cells to generate the plurality of search results; and the storage data is a single-bit multi-level storage data and/or the search data is a single-bit multi-level search data.

Abstract: The application provides a content addressable memory (CAM) memory device and a method for searching and comparing data thereof. The CAM memory device comprises: a plurality of CAM memory strings; and a sensing amplifier circuit coupled to the CAM memory strings; wherein in data searching, a search data is compared with a storage data stored in the CAM memory strings, the CAM memory strings generate a plurality of memory string currents, the sensing amplifier circuit senses the memory string currents to generate a plurality of sensing results: based on the sensing results, a match degree between the search data and the storage data is determined as one of the follows: all-matched, partially-matched and all-mismatched.

Abstract: A method of a circuit signal enhancement of a circuit board comprises the following steps: forming a first substrate body with a first signal transmission circuit layer and a second substrate body with a second signal transmission circuit layer; forming a first signal enhancement circuit layer and a second signal enhancement circuit layer on the first substrate body and the second substrate body; forming a third substrate body with a third signal transmission circuit layer and a fourth substrate body with a fourth signal transmission circuit layer on the carrier; separating the third substrate body and the fourth substrate body from the carrier; combining the first signal transmission circuit layer and the third signal transmission circuit layer through the first signal enhancement circuit layer; and combining the second signal transmission circuit layer and the fourth signal transmission circuit layer through the second signal enhancement circuit layer.

Abstract: Examples for controlling an operating speed of a cooling device based on an operating mode of a processing unit, are described. In an example, a current value of a monitored current signal is determined. Based on the comparison of the current value with a predefined threshold value, a switch in an operating mode of the processing unit is determined. Thereafter, the computing device may be caused to increase the operating speed of the cooling device to a designated speed.

Abstract: The present disclosure provides a method for treating arthritis by using a stem cell preparation. The stem cell preparation of the present disclosure can effectively delay cartilage degeneration caused by arthritis, and it is confirmed by whole blood analysis and blood biochemical analysis that the stem cell preparation in the form of three-dimensional stem cell spheres provides a safe treatment for arthritis. The present disclosure also provides a method for preparing the stem cell preparation.

Abstract: The invention provides an optical measurement device for measuring light to be inspected. The optical measurement device comprises a light receiving module, a light splitting module, and a plurality of color filters. The light receiving module is used for converting the light to be inspected into a first parallel light. The light splitting module is used for splitting the first parallel light into a plurality of parallel lights to be inspected. Each color filter receives at least one of the plurality of parallel lights to be inspected. The plurality of parallel lights to be inspected filtered by the plurality of color filters are used to calculate tristimulus values in the CIE color space.

Abstract: Disclosed are TCAM device and operation method thereof. The operation method of the TCAM device comprises: applying a select voltage on one of a plurality of first signal lines, and applying an pass voltage on the rest of the first signal lines, wherein the TCAM device comprises an IMS array, the IMS array comprises a plurality of memory units, the memory units are arranged as a plurality of rows and a plurality of columns, a plurality of control terminal of each row of the memory units are coupled to the first driving circuit via a first signal line, each column of the memory units are serially connected to form a memory unit string, each of the memory unit string is coupled to the second driving circuit via a second signal line; and applying a plurality of searching voltage corresponding to a target data to the second signal lines.

Abstract: An electrophysiological signal measurement system, an electrophysiological signal adjustment method and an electrode assembly are provided. The electrophysiological signal measurement system includes an electrode assembly, a variation adjustment device and a signal processing device. The electrode assembly receives an electrophysiological signal, a first electrical characteristic value and a second electrical characteristic value. The variation adjustment device includes a comparison unit and a searching unit. The comparison unit receives the first electrical characteristic value and the second electrical characteristic value, and determines whether a difference between the first electrical characteristic value and the second electrical characteristic value is greater than a threshold.

Abstract: An object detection method and an object detection system are provided. The object detection method includes the following steps. An object selected range in a current image is filtered out to obtain a background range. An object foreground range and an object background range are obtained from the object selected range. If the number of object foreground moving vectors corresponding to the object foreground range is greater than the number of background moving vectors in the object background range, a foreground moving trend of the object foreground moving vectors corresponding to the object foreground range is calculated. The object selection range of the current image is updated according to the foreground moving trend of the object foreground moving vectors corresponding to the object foreground range or a background moving trend of the background moving vectors corresponding to the background range.

Abstract: A multi-chip package and a manufacturing method thereof are provided. The multi-chip package includes a redistribution circuit structure; a first semiconductor chip disposed on the redistribution structure and having a first active surface on which a first conductive post is disposed; a second semiconductor chip disposed above the first semiconductor chip and having a second active surface on which a first conductor is disposed; and a first encapsulant disposed on the redistribution circuit structure and encapsulating at least the first semiconductor chip, wherein the first conductive post and the first conductor are aligned and bonded to each other to electrically connect the first semiconductor chip and the second semiconductor chip.

Abstract: There is provided a detection system including a detection device and a post processor. The detection device and the post processor exchange data therebetween using a predetermined communication protocol. The detection device outputs at least one of calculated data and raw data to the post processor in response to each polling according to a request from the post processor. The raw data is provided to the post processor for the machine learning.

Abstract: The solid-state image sensor includes a semiconductor substrate having first and second photoelectric conversion elements, a color filter layer, and a hybrid layer. The isolation structure is disposed between the first and second photoelectric conversion elements. The color filter layer is disposed above the semiconductor substrate. The hybrid layer is disposed between the semiconductor substrate and the color filter layer. The hybrid layer includes a first partition structure, a second partition structure, and a transparent layer. The first partition structure is disposed to correspond to the isolation structure. The second partition structure is surrounded by the first partition structure. The transparent layer is between the first partition structure and the second partition structure. The refractive index of the first partition structure and the refractive index of the second partition structure are lower than the refractive index of the transparent layer.

Abstract: An in-memory computation device and computation method are provided. The in-memory computation device, including a memory cell array, an input buffer, and a sense amplifier, is provided. The memory cell array includes a memory cell block. The memory cell block corresponds to at least one word line, and stores multiple weight values. Memory cells on the memory cell block respectively store multiple bits of each weight value. The input buffer is coupled to multiple bit lines, and respectively transmits multiple input signals to the bit lines. The memory cell array performs a multiply-add operation on the input signals and the weight values to generate multiple first operation results corresponding to multiple bit orders. The sense amplifier adds the first operation results to generate a second operation result according to the bit orders corresponding to the first operation results.

Abstract: An optical lens assembly includes seven lens elements which are, in order from an object side to an image side along an optical path: a first lens element, a second lens element, a third lens element, a fourth lens element, a fifth lens element, a sixth lens element and a seventh lens element. An object-side surface of the first lens element is concave in a paraxial region thereof. The third lens element has positive refractive power. An object-side surface of the sixth lens element is convex in a paraxial region thereof, and an image-side surface of the sixth lens element is concave in a paraxial region thereof. An image-side surface of the seventh lens element is concave in a paraxial region thereof, and the image-side surface of the seventh lens element has at least one inflection point.