Abstract: A package structure and a method of forming the same are provided. The package structure includes a first die, a second die, a first encapsulant, and a buffer layer. The first die and the second die are disposed side by side. The first encapsulant encapsulates the first die and the second die. The second die includes a die stack encapsulated by a second encapsulant encapsulating a die stack. The buffer layer is disposed between the first encapsulant and the second encapsulant and covers at least a sidewall of the second die and disposed between the first encapsulant and the second encapsulant. The buffer layer has a Young's modulus less than a Young's modulus of the first encapsulant and a Young's modulus of the second encapsulant.

Abstract: A die includes a substrate, a conductive pad, a connector and a protection layer. The conductive pad is disposed over the substrate. The connector is disposed on the conductive pad. The connector includes a seed layer and a conductive post. The protection layer laterally covers the connector. Topmost surfaces of the seed layer and the conductive post and a top surface of the protection layer are level with each other.

Abstract: A package structure and method of forming the same are provided. The package structure includes a polymer layer, a redistribution layer, a die, and an adhesion promoter layer. The redistribution layer is disposed over the polymer layer. The die is sandwiched between the polymer layer and the redistribution layer. The adhesion promoter layer, an oxide layer, a through via, and an encapsulant are sandwiched between the polymer layer and the redistribution layer. The encapsulant is laterally encapsulates the die. The through via extends through the encapsulant. The adhesion promoter layer and the oxide layer are laterally sandwiched between the through via and the encapsulant. A bottom portion of the encapsulant is longitudinally sandwiched between the adhesion promoter layer and the polymer layer.

Abstract: A photo-detecting device includes a first semiconductor layer with a first dopant, a light-absorbing layer, a second semiconductor layer, and a semiconductor contact layer. The second semiconductor layer is located on the first semiconductor layer and has a first region and a second region, the light absorbing layer is located between the first semiconductor layer and the second semiconductor layer and has a third region and a fourth region, the semiconductor contact layer contacts the first region. The first region includes a second dopant and a third dopant, the second region includes second dopant, and the third region includes third dopant. The semiconductor contact layer has a first thickness greater than 50 ? and smaller than 1000 ?.

Abstract: Provided is a medical image analyzing system and a method thereof, which includes: acquiring a processed image having a segmentation label corresponding to a cancerous part of an organ (if present), generating a plurality of image patches therefrom, performing feature analysis on the image patches and model training to obtain prediction values, drawing a receiver operating characteristic curve using the prediction values, and determining a threshold with which determines whether the image patches are cancerous, so as to effectively improve the detection rate of, for example, pancreatic cancer.

Abstract: An aerosol-shielding endoscopy mouthpiece (AeroFree mouthpiece) is disclosed. The aerosol-shielding endoscopy mouthpiece includes a bite block part through which the endoscope passes and a mouth and nose-shielding part. Besides allowing for safe passage of the endoscope and respiration of the examinee, the bite block part includes a cover which is configured to mitigate splashing of aerosol and saliva through the orifice for endoscope passage during the endoscopic procedure. The mouth and nose-shielding part contains the bodily fluids and aerosols from the examinee's mouth and nose and reduces the risk of contamination at the time of removal and disposal.

Abstract: Air curtain devices can reduce defects on semiconductor wafers when implemented on a track equipped with robotic wafer transport. The air curtain devices can be added to one or more processing devices arranged along the track to prevent defects from landing on wafer surfaces. For example, the air curtain devices can prevent volatile organic solvent mist from drifting towards processing devices on the track and preventing contamination via a wafer transport system.

Abstract: Provided are a medical image analyzing system and a method thereof, which mainly crop a plurality of image patches from a processed image including a segmentation label corresponding to a location of an organ, train a deep learning model with the image patches to obtain prediction values, and plot a receiver operating characteristic curve to determine a threshold which determines whether the image patches are cancerous, thereby effectively improving the detection rate of cancer.

Abstract: A medical image analyzing system and a medical image analyzing method are provided and include inputting at least one patient image into a first model of a neural network module to obtain a result having determined positions and ranges of an organ and a tumor of the patient image; inputting the result into a second model of a first analysis module and a third model of a second analysis module, respectively, to obtain at least one first prediction value and at least one second prediction value corresponding to the patient image; and outputting a determined result based on the first prediction value and the second prediction value. Further, processes between the first model, the second model and the third model can be automated, thereby improving identification rate of pancreatic cancer.

Abstract: A medical image analyzing system and a medical image analyzing method are provided and include inputting at least one patient image into a first model of a first neural network module to obtain a result having determined positions and ranges of an organ and a tumor of the patient image; inputting the result into a plurality of second models of a second neural network module, respectively, to obtain a plurality of prediction values corresponding to each of the plurality of second models and a model number predicting having cancer in the plurality of prediction values; and outputting a determined result based on the model number predicting having cancer and a number threshold value. Further, processes between the first model and the second models can be automated, thereby improving identification rate of pancreatic cancer.

Abstract: A mobile communication device supporting wireless communications using a first subscriber identity and a second subscriber identity is provided. The mobile communication device includes a Radio Frequency (RF) device and a controller. The controller is coupled to the RF device such that the controller performs the following actions: performing a first measurement on a cell via the RF device by using the first subscriber identity to obtain a first measurement result; determining whether the first measurement result is valid; and based on a result of the determining, performing a second measurement on the cell via the RF device by using the second subscriber identity to obtain a second measurement result.

Abstract: Provided is a medical image analyzing system and a method thereof, which includes: acquiring a processed image having a segmentation label corresponding to a cancerous part of an organ (if present), generating a plurality of image patches therefrom, performing feature analysis on the image patches and model training to obtain prediction values, drawing a receiver operating characteristic curve using the prediction values, and determining a threshold with which determines whether the image patches are cancerous, so as to effectively improve the detection rate of, for example, pancreatic cancer.

Abstract: Provided are a medical image analyzing system and a method thereof, which mainly crop a plurality of image patches from a processed image including a segmentation label corresponding to a location of an organ, train a deep learning model with the image patches to obtain prediction values, and plot a receiver operating characteristic curve to determine a threshold which determines whether the image patches are cancerous, thereby effectively improving the detection rate of cancer.

Abstract: A mobile communication device supporting wireless communications using a first subscriber identity and a second subscriber identity is provided. The mobile communication device includes a Radio Frequency (RF) device and a controller. The controller is coupled to the RF device such that the controller performs the following actions: performing a first measurement on a cell via the RF device by using the first subscriber identity to obtain a first measurement result; determining whether the first measurement result is valid; and based on a result of the determining, performing a second measurement on the cell via the RF device by using the second subscriber identity to obtain a second measurement result.

Abstract: A microbubble creating method using a forming machine for creating microbubbles by: installed a microbubble generating member in a mold, feed screw or barrel for enabling a perforated tip of the microbubble generating member to be surrounded by the applied fluid polymer so that when a high pressure high temperature gas is delivered through the perforated tip of the microbubble generating member, microbubbles are created with well mixed with the fluid polymer, and the expected foamed polymer product is thus obtained after cooling.

Abstract: A microbubble creating method using a forming machine for creating microbubbles by: installed a microbubble generating member in a mold, feed screw or barrel for enabling a perforated tip of the microbubble generating member to be surrounded by the applied fluid polymer so that when a high pressure high temperature gas is delivered through the perforated tip of the microbubble generating member, microbubbles are created with well mixed with the fluid polymer, and the expected foamed polymer product is thus obtained after cooling.

Abstract: A microbubble creating method using a forming machine for creating microbubbles by: installed a microbubble generating member in a mold, feed screw or barrel for enabling a perforated tip of the microbubble generating member to be surrounded by the applied fluid polymer so that when a high pressure high temperature gas is delivered through the perforated tip of the microbubble generating member, microbubbles are created with well mixed with the fluid polymer, and the expected foamed polymer product is thus obtained after cooling.

Abstract: A microbubble creating method using a forming machine for creating microbubbles by: installed a microbubble generating member in a mold, feed screw or barrel for enabling a perforated tip of the microbubble generating member to be surrounded by the applied fluid polymer so that when a high pressure high temperature gas is delivered through the perforated tip of the microbubble generating member, microbubbles are created with well mixed with the fluid polymer, and the expected foamed polymer product is thus obtained after cooling.

Abstract: A microbubble creating method using a forming machine for creating microbubbles by: installed a microbubble generating member in a mold, feed screw or barrel for enabling a perforated tip of the microbubble generating member to be surrounded by the applied fluid polymer so that when a high pressure high temperature gas is delivered through the perforated tip of the microbubble generating member, microbubbles are created with well mixed with the fluid polymer, and the expected foamed polymer product is thus obtained after cooling.

Abstract: A method for generating a color QR code includes: generating a grayscale image according to a color image; providing a QR code and dividing the grayscale image into the number of grayscale image modules matching module numbers of the QR code; generating a threshold mask image from grayscale image modules; cutting out each center block from center part of each grayscale image module and calculating characteristics values of the center blocks; identifying color of each module of the QR code, and comparing the characteristics values of the center blocks of the grayscale image to the corresponding threshold value compensated by robustness value to identify center blocks needing pixel luminance adjustment; dividing the center blocks needing pixel luminance adjustment into multiple layers of blocks; adjusting pixel luminance of the multiple layers of blocks using the robustness value times with corresponding weightings; and generating a fused color QR code.