Abstract: The present invention belongs to the technical field of biomedical formulations. Provided are a temperature sensitive gel damage repair formulation and an application thereof. The formulation includes 0.01-5 mg/mL rHSA/EGF, 1.9-2.6% m/m glycine, 3.9-6.2% m/m poloxamer 188, 16.3-18.2% m/m poloxamer 407, and 0.5-100 mM phosphate buffer.

Abstract: The present disclosure provides use of Clostridium ghonii combined with a tumor angiogenesis inhibitor in preparing a pharmaceutical product for treating a tumor. The present disclosure further provides a drug for treating a tumor, where the drug includes active ingredients of Clostridium ghonii and a tumor angiogenesis inhibitor.

Abstract: The present disclosure provides a display substrate and a display apparatus, belongs to the field of display technology, and at least partially solves one existing technical problem. The display substrate includes a base substrate, and sub-pixels in an array at intervals on the base substrate; wherein the adjacent sub-pixels are provided with a spacer region therebetween; the spacer region includes a first spacer region having a functional position, and a second spacer region having no functional position; at least some functional positions are provided with functional parts; and a width of the first spacer region between two adjacent sub-pixels arranged along the first direction or the second direction is greater than that of the second spacer region between two adjacent sub-pixels arranged along the same direction; wherein a width of the spacer region is equal to a shortest distance between boundaries of the two sub-pixels corresponding to the spacer region.

Abstract: The present invention relates to a platform door control apparatus based on a double 2-vote-2 architecture, including a security communication and logic processing module, a driver collection module, and a maintenance module, the security communication and logic processing module is separately connected to the driver collection module and the maintenance module, and both the security communication and logic processing module and the driver collection module are devices using the double 2-vote-2 architecture. Compared with the prior art, the present invention has the following advantages of effectively improving linkage efficiency of a signal system and a platform door system, and the like.

Abstract: The present disclosure relates to use of a Clostridium ghonii spore combined with pembrolizumab in cancer treatment. It is found for the first time that the Clostridium ghonii spore combined with pembrolizumab can significantly improve a curative effect of colon cancer and reduce a dose of the pembrolizumab, and thus is efficient and low-toxic. Oncolysis by Clostridium ghonii can affect immunogenicity of a tumor microenvironment (TME) by various ways, converts an immunosuppressive state of the TME into an immune-activated state, adjusts the immunosuppressive TME, and breaks an immune tolerance. An optimal combination of the Clostridium ghonii spore and the pembrolizumab thoroughly removes about 20% of mouse tumor tissues. A benefit range of patients with tumors treated by a PD-1 antibody is expanded. The combination even has an obvious curative effect on patients failed the treatment by the PD-1 antibody.

Abstract: The present invention provides a germ-repellent silicone rubber comprising: a silicone rubber substrate and a germ-repellent active ingredient incorporated therein; wherein, the silicone rubber substrate includes polydimethylsiloxane; the germ-repellent active ingredients include poly(ethylene oxide) and silicone oil or their derivatives. The disclosed germ-repellent silicone rubber reduces the bacterial growth by inhibiting their adherence to the surface instead of killing them, does not contribute to super bacteria formation nor cause skin irritation.

Abstract: The disclosure relates to a non-national standard turnout drive system based on a double 2-vote-2 architecture, including an interlocking processing subsystem IPS, an interlocking maintenance station SDM, a non-national standard turnout drive module HIOM and an interlocking maintenance station SDM, wherein the non-national standard turnout drive module HIOM, a full-electronic communication module EIOCOM2, and the interlocking processing subsystem IPS are connected with each other in order, and the full-electronic communication module EIOCOM2 is connected to the interlocking maintenance station SDM; two non-national standard turnout drive module HIOMs, which are mutually redundant, obtain turnout drive commands through the interlocking processing subsystem IPS to control drive relays in a non-national standard turnout to lift and fall for driving the turnout to rotate toward a specified direction, while collecting representation information of the turnout and determining a position of the turnout.

Abstract: A system and method for predicting mild cognitive impairment (MCI) related diagnosis and prognosis utilizing deep learning. More specifically, the system and method produce predictions of MCI conversions to Alzheimer's/dementia and prognosis related thereof. Using available medical imaging and non-imaging data a diagnosis and prognosis model is a deep learned model trained using transfer learning. An MCI-DAP server may then receive a request from a clinician to process predictions related to a target patient's diagnosis or prognosis. The target patient's medical data is retrieved and used to create a model for the target patient. Then details of the target patient's model and the diagnosis and prognosis model are compared, a prediction is generated, and the prediction is returned to the clinician. As new medical data becomes available it is fed into the respective model to improve accuracy and update predictions.

Abstract: A system and method for predicting mild cognitive impairment (MCI) related diagnosis and prognosis utilizing hybrid machine learning. More specifically, the system and method produce predictions of MCI conversions to dementia and prognosis related thereof. Using available medical imaging and non-imaging data a diagnosis and prognosis model is trained using transfer learning. A platform may then receive a request from a clinician for a target patient's diagnosis or prognosis. The target patient's medical data is retrieved and used to create a model for the target patient. Then details of the target patient's model and the diagnosis and prognosis model are compared, a prediction is generated, and the prediction is returned to the clinician. As new medical data becomes available it is fed into the respective model to improve accuracy and update predictions.

Abstract: A system and method for predicting mild cognitive impairment (MCI) related diagnosis and prognosis utilizing deep learning. More specifically, the system and method produce predictions of MCI conversions to Alzheimer's/dementia and prognosis related thereof. Using available medical imaging and non-imaging data a diagnosis and prognosis model is a deep learned model trained using transfer learning. An MCI-DAP server may then receive a request from a clinician to process predictions related to a target patient's diagnosis or prognosis. The target patient's medical data is retrieved and used to create a model for the target patient. Then details of the target patient's model and the diagnosis and prognosis model are compared, a prediction is generated, and the prediction is returned to the clinician. As new medical data becomes available it is fed into the respective model to improve accuracy and update predictions.

Abstract: A system and method for predicting mild cognitive impairment (MCI) related diagnosis and prognosis utilizing deep learning. More specifically, the system and method produce predictions of MCI conversions to Alzheimer's/dementia and prognosis related thereof. Using available medical imaging and non-imaging data a diagnosis and prognosis model is a deep learned model trained using transfer learning. An MCI-DAP server may then receive a request from a clinician to process predictions related to a target patient's diagnosis or prognosis. The target patient's medical data is retrieved and used to create a model for the target patient. Then details of the target patient's model and the diagnosis and prognosis model are compared, a prediction is generated, and the prediction is returned to the clinician. As new medical data becomes available it is fed into the respective model to improve accuracy and update predictions.

Abstract: A system and method for predicting mild cognitive impairment (MCI) related diagnosis and prognosis. More specifically, the system and method produce predictions of MCI conversions to dementia and prognosis related thereof. Using available medical imaging and non-imaging data a diagnosis and prognosis model is trained using transfer learning. A server may then receive a request from a clinician for a target patient's diagnosis or prognosis. The target patient's medical data is retrieved and used to create a model for the target patient. Then details of the target patient's model and the diagnosis and prognosis model are compared, a prediction is generated, and the prediction is returned to the clinician. As new medical data becomes available it is fed into the respective model to improve accuracy and update predictions.

Abstract: A method and an apparatus are for classifying data. In an embodiment, the method includes: classifying at least two pieces of data, to obtain at least two data clusters; determining a bias degree of classification; re-classifying the at least two pieces of data by merging any several of the at least two data clusters; determining a bias degree of re-classification; and determining, by comparing the bias degree of first classification and the bias degree of re-classification, which classification is more accurate. By way of the method and apparatus, a related data cluster can be found from multiple data clusters for better data analysis.

Abstract: The disclosure relates to a non-national standard turnout drive system based on a double 2-vote-2 architecture, including an interlocking processing subsystem IPS, an interlocking maintenance station SDM, a non-national standard turnout drive module HIOM and an interlocking maintenance station SDM, wherein the non-national standard turnout drive module HIOM, a full-electronic communication module EIOCOM2, and the interlocking processing subsystem IPS are connected with each other in order, and the full-electronic communication module EIOCOM2 is connected to the interlocking maintenance station SDM; two non-national standard turnout drive module HIOMs, which are mutually redundant, obtain turnout drive commands through the interlocking processing subsystem IPS to control drive relays in a non-national standard turnout to lift and fall for driving the turnout to rotate toward a specified direction, while collecting representation information of the turnout and determining a position of the turnout.

Abstract: A method for manufacturing an array substrate, an array substrate and a display panel are provided herein. The method for manufacturing the array substrate includes: forming an inorganic layer on a base substrate; defining a preset region in a marginal region of the base substrate, and removing the inorganic layer in the preset region; and cutting the base substrate or the base substrate together with one or more layers on the base substrate in the preset region.

Abstract: The present invention relates to a platform door control apparatus based on a double 2-vote-2 architecture, including a security communication and logic processing module, a driver collection module, and a maintenance module, the security communication and logic processing module is separately connected to the driver collection module and the maintenance module, and both the security communication and logic processing module and the driver collection module are devices using the double 2-vote-2 architecture. Compared with the prior art, the present invention has the following advantages of effectively improving linkage efficiency of a signal system and a platform door system, and the like.

Abstract: A method for manufacturing an array substrate, an array substrate and a display panel are provided herein. The method for manufacturing the array substrate includes: forming an inorganic layer on a base substrate; defining a preset region in a marginal region of the base substrate, and removing the inorganic layer in the preset region; and cutting the base substrate or the base substrate together with one or more layers on the base substrate in the preset region.

Abstract: A method, device and terminal for data processing are described. The method includes receiving a data exchange request, acquiring a responding user data queue corresponding to a requesting user according to a user correlation relationship, sorting and marking the responding user data queue with responding user information; converting the responding user data queue into a requesting user data queue, sorting and marking the requesting user data queue with requesting user information; and transmitting the requesting user data queue to a user terminal.

Abstract: A method, device and terminal for data processing are described. The method includes receiving a data exchange request, acquiring a responding user data queue corresponding to a requesting user according to a user correlation relationship, sorting and marking the responding user data queue with responding user information; converting the responding user data queue into a requesting user data queue, sorting and marking the requesting user data queue with requesting user information; and transmitting the requesting user data queue to a user terminal.

Abstract: The present invention relates to novel heterocyclic compounds and their agronomically suitable salts, methods for the use of these compounds in controlling unwanted plant species, and the use of herbicidal compositions containing these compounds. In particular, the present invention pertains to substituted and unsubstituted triazoles, imidazoles and pyrazoles linked to a heterocyclic substituted benzene group. Such compounds are useful as pre-emergent and post-emergent herbicides.