Abstract: The present disclosure provides a method for preparing a composition including mesenchymal stem cells, extracellular vesicles produced by the mesenchymal stem cells, and growth factors, the composition prepared by the method, and use of the composition for treating arthritis. The composition of the present disclosure achieves the effect of treating arthritis through various efficacy experiments.

Abstract: The present disclosure provides a multi-substrate handling system having an alignment apparatus capable of positioning each of a set of substrates in predetermined orientations for transfer. A buffer chamber is configured to receive and condition the set of substrates which are disposed on a substrate carrier. A first transfer assembly is configured to transfer the set of substrates to and from the buffer chamber and is capable of transferring each of the set of substrates from the alignment apparatus to the carrier in the buffer chamber. The carrier includes a plurality of modules capable of securing the set of substrates. The system includes a second transfer assembly having at least two robots configured to transfer the carrier of the set of substrates between the buffer chamber and a process chamber. The process chamber is capable of processing the set of substrates using different process parameters for each substrate.

Abstract: A system of deep learning neural network in prostate cancer bone metastasis identification based on whole body bone scan images includes a pre-processing module for receiving input whole body bone scan images, and a neural network module for detecting whether there is a prostate cancer bone metastasis. The neural network module includes: a chest portion network module for establishing first stage faster R-CNN and segmenting training images of chest portion according to the input whole body bone scan images, and using the training images to train second stage faster R-CNN and categorizing the lesions of cancerous bone metastasis; and a pelvis portion network module for establishing first stage faster R-CNN and segmenting training images of pelvis portion according to the input whole body bone scan images, and using the training images to train the convolutional neural network to categorize whether it is a bone metastasis image.

Abstract: Extendable lever arms can be used to facilitate insertion and removal of a sled into and out of a chassis. Each extendable lever can include a rotatable body, a primary arm, and a secondary arm. The rotatable body can be rotatably coupled to the housing of the sled, and can optionally include latching elements to secure the sled within the chassis, as well as optional removal features to facilitate disengaging the sled from the chassis. The secondary arm can be coupled to the primary arm to move between a retracted position and an extended position. When in the retracted position, the secondary arm can be positioned adjacent to the primary arm to avoid blocking access to ports of the sled. When in the extended position, however, the secondary arm can be positioned to provide a longer lever arm to facilitate insertion and removal of the sled.

Abstract: Extendable lever arms can be used to facilitate insertion and removal of a sled into and out of a chassis. Each extendable lever can include a rotatable body, a primary arm, and a secondary arm. The rotatable body can be rotatably coupled to the housing of the sled, and can optionally include latching elements to secure the sled within the chassis, as well as optional removal features to facilitate disengaging the sled from the chassis. The secondary arm can be coupled to the primary arm to move between a retracted position and an extended position. When in the retracted position, the secondary arm can be positioned adjacent to the primary arm to avoid blocking access to ports of the sled. When in the extended position, however, the secondary arm can be positioned to provide a longer lever arm to facilitate insertion and removal of the sled.

Abstract: A computer-aided recognition system for treatment response of rectal cancer is provided to predict the probability of a pathological complete response (pCR) of a rectal cancer patient after preoperative neoadjuvant chemoradiotherapy. The system includes a random forest model having several decision trees. Each decision tree has at least a feature node. Each feature node generates two branches according to a feature threshold, wherein each branch connects to another feature node or corresponds to an elementary pCR predicting probability. The random forest model integrates the elementary pCR probability of each decision tree, so as to generate a final pCR probability.

Abstract: A method for dispensing photoresist over a semiconductor wafer is provided. The method includes moving a dispensing nozzle to a predetermined position where the longitudinal axis of the dispensing nozzle aligns with the central axis of the semiconductor wafer. The method further includes dispensing a chemical liquid over the semiconductor wafer via the dispensing nozzle. The method also includes dispensing a photoresist over the semiconductor wafer that is coated with the chemical liquid via the dispensing nozzle. During the dispensing of the chemical liquid and the photoresist, the dispensing nozzle stays in the predetermined position.

Abstract: A system of deep learning neural network in prostate cancer bone metastasis identification based on whole body bone scan images includes a pre-processing module for receiving input whole body bone scan images, and a neural network module for detecting whether there is a prostate cancer bone metastasis. The neural network module includes: a chest portion network module for establishing first stage faster R-CNN and segmenting training images of chest portion according to the input whole body bone scan images, and using the training images to train second stage faster R-CNN and categorizing the lesions of cancerous bone metastasis; and a pelvis portion network module for establishing first stage faster R-CNN and segmenting training images of pelvis portion according to the input whole body bone scan images, and using the training images to train the convolutional neural network to categorize whether it is a bone metastasis image.

Abstract: Embodiments herein beneficially enable simultaneous processing of a plurality of substrates in a digital direct write lithography processing system. In one embodiment a method of processing a plurality of substrate includes positioning a plurality of substrates on a substrate carrier of a processing system, positioning the substrate carrier under the plurality of optical modules, independently leveling each of the plurality of substrates, determining offset information for each of the plurality of substrates, generating patterning instructions based on the offset information for each of the plurality of substrates, and patterning each of the plurality of substrates using the plurality of optical modules. The processing system comprises a base, a motion stage disposed on the base, the substrate carrier disposed on the motion stage, a bridge disposed above a surface of the base and separated therefrom, and a plurality of optical modules disposed on the bridge.

Abstract: A prediction system of tumor image-aided prediction of prognosis for patients with uterine cervical cancer is provided. The prediction system includes a data augmentation module and a deep convolution neural network model. The data augmentation module is used to apply a data expansion process of the image data, so as to generate a plurality of slice sets of the uterine cervical cancer tumor. The deep convolution neural network model is used to apply a feature analysis to the slices, so as to predict the prognosis of a patient after chemoradiotherapy.

Abstract: A computer-aided recognition system for treatment response of rectal cancer is provided to predict the probability of a pathological complete response (pCR) of a rectal cancer patient after preoperative neoadjuvant chemoradiotherapy. The system includes a random forest model having several decision trees. Each decision tree has at least a feature node. Each feature node generates two branches according to a feature threshold, wherein each branch connects to another feature node or corresponds to an elementary pCR predicting probability. The random forest model integrates the elementary pCR probability of each decision tree, so as to generate a final pCR probability.

Abstract: A prediction system of tumor image-aided prediction of prognosis for patients with uterine cervical cancer is provided. The prediction system includes a data augmentation module and a deep convolution neural network model. The data augmentation module is used to apply a data expansion process of the image data , so as to generate a plurality of slice sets of the uterine cervical cancer tumor. The deep convolution neural network model is used to apply a feature analysis to the slices, so as to predict the prognosis of a patient after chemoradiotherapy.

Abstract: Embodiments herein beneficially enable simultaneous processing of a plurality of substrates in a digital direct write lithography processing system. In one embodiment a method of processing a plurality of substrate includes positioning a plurality of substrates on a substrate carrier of a processing system, positioning the substrate carrier under the plurality of optical modules, independently leveling each of the plurality of substrates, determining offset information for each of the plurality of substrates, generating patterning instructions based on the offset information for each of the plurality of substrates, and patterning each of the plurality of substrates using the plurality of optical modules. The processing system comprises a base, a motion stage disposed on the base, the substrate carrier disposed on the motion stage, a bridge disposed above a surface of the base and separated therefrom, and a plurality of optical modules disposed on the bridge.

Abstract: Embodiments of the present disclosure generally provide a digital lithography system that can process both large area substrates as well as semiconductor device substrates, such as wafers. Both the large area substrates and the semiconductor device substrates can be processed in the same system simultaneously. Additionally, the system can accommodate different levels of exposure for forming the features over the substrates. For example, the system can accommodate very precise feature patterning as well as less precise feature patterning. The different exposures can occur in the same chamber simultaneously. Thus, the system is capable of processing both semiconductor device substrates and large area substrates simultaneously while also accommodating very precise feature patterning simultaneous with less precise feature patterning.

Abstract: Embodiments of the present disclosure generally provide a digital lithography system that can process both large area substrates as well as semiconductor device substrates, such as wafers. Both the large area substrates and the semiconductor device substrates can be processed in the same system simultaneously. Additionally, the system can accommodate different levels of exposure for forming the features over the substrates. For example, the system can accommodate very precise feature patterning as well as less precise feature patterning. The different exposures can occur in the same chamber simultaneously. Thus, the system is capable of processing both semiconductor device substrates and large area substrates simultaneously while also accommodating very precise feature patterning simultaneous with less precise feature patterning.

Abstract: A method for dispensing photoresist over a semiconductor wafer is provided. The method includes moving a dispensing nozzle to a predetermined position where the longitudinal axis of the dispensing nozzle aligns with the central axis of the semiconductor wafer. The method further includes dispensing a chemical liquid over the semiconductor wafer via the dispensing nozzle. The method also includes dispensing a photoresist over the semiconductor wafer that is coated with the chemical liquid via the dispensing nozzle. During the dispensing of the chemical liquid and the photoresist, the dispensing nozzle stays in the predetermined position.

Abstract: A panel displaying method for an electronic device is provided. The electronic device includes a display module and has a plurality of first icons corresponding to a plurality of objects. The panel displaying method includes: determining an environment of the electronic device; automatically choosing an operation mode based on the environment of the electronic device. The operation mode is displayed in a widget area of a first panel and includes at least one widget icon. A portion of the first icons is chosen and updated as the widget icon based on numbers of clicks of the first icons in the chosen operation mode. Moreover, a portable electronic device and a recording medium using the method are also provided.

Abstract: Aspects of the disclosure provide a video decoding system. The video decoding system can include a decoder core configured to selectively decode independently decodable tiles in a picture, each tile including largest coding units (LCUs) each associated with a pair of picture-based (X, Y) coordinates or tile-based (X, Y) coordinates, and memory management circuitry configured to translate one or two coordinates of a current LCU to generate one or two translated coordinates, and to determine a target memory space storing reference data for decoding the current LCU based on the one or two translated coordinates.

Abstract: A service provider system and a service provider method are disclosed herein. The service provider system includes a service provider device and a mobile device. The mobile device includes a network module, a processing module and a storage module. The network module of the mobile device connects to the service provider device through a wireless network and receives a service description file provided by the service provider device. The processing module is configured to execute a program code stored in the storage module so as to implement a synthesizing method of an application program. The synthesizing method includes the following steps: parsing multiple service description data from the service description file; and generating an application program corresponding to the service description file according to the service description data and a resource list corresponding to the mobile device.

Abstract: A panel displaying method for an electronic device is provided. The electronic device includes a display module and has a plurality of first icons corresponding to a plurality of objects. The panel displaying method includes: determining an environment of the electronic device; automatically choosing an operation mode based on the environment of the electronic device. The operation mode is displayed in a widget area of a first panel and includes at least one widget icon. A portion of the first icons is chosen and updated as the widget icon based on numbers of clicks of the first icons in the chosen operation mode. Moreover, a portable electronic device and a recording medium using the method are also provided.