Abstract: A component installation system includes an engagement clamp having a circular shape coupled to a robotic arm, being configured to engage an annular component. The component installation system further includes an actuator coupled to the engagement clamp and operable to cause the engagement clamp to engage and disengage the annular component, and a heating element coupled to the engagement clamp and arranged to heat the annular component engaged within the engagement clamp. The component installation system further includes a controller in communication with the robotic arm, the actuator and the heating element.

Abstract: In a method of coating a photo resist over a wafer, dispensing the photo resist from a nozzle over the wafer is started while rotating the wafer, and dispensing the photo resist is stopped while rotating the wafer. After starting and before stopping the dispensing the photo resist, a wafer rotation speed is changed at least 4 times. During dispensing, an arm holding the nozzle may move horizontally. A tip end of the nozzle may be located at a height of 2.5 mm to 3.5 mm from the wafer.

Abstract: Disclosed is a pyrimidine compound acting on an EGFR exon 20 insertion mutation and an ERBB2 exon 20 insertion mutation or a pharmaceutically acceptable salt thereof.

Abstract: In a method of coating a photo resist over a wafer, dispensing the photo resist from a nozzle over the wafer is started while rotating the wafer, and dispensing the photo resist is stopped while rotating the wafer. After starting and before stopping the dispensing the photo resist, a wafer rotation speed is changed at least 4 times. During dispensing, an arm holding the nozzle may move horizontally. A tip end of the nozzle may be located at a height of 2.5 mm to 3.5 mm from the wafer.

Abstract: Disclosed is a pyrimidine compound acting on an EGFR exon 20 insertion mutation and an ERBB2 exon 20 insertion mutation or a pharmaceutically acceptable salt thereof.

Abstract: Disclosed is a class of porcupine inhibitors, specifically a compound as represented by formula (I), and a pharmaceutically acceptable salt or an isomer thereof.

Abstract: The present invention discloses new azaindole pyrazole compounds as CDK9 inhibitors, in particular, compounds as represented by formula (I), pharmaceutically acceptable salts and isomers thereof, and the use of compounds represented by formula (I), pharmaceutically acceptable salts and isomers thereof, and the pharmaceutical composition containing them in the preparation of cancer drugs.

Abstract: The present invention provides compounds of Formula (I): wherein all variables are as defined in the specification, and compositions comprising any of such novel compounds. These compounds are biased agonists, or ?-Arrestin agonists of the angiotensin II receptor, which may be used as medicaments.

Abstract: An exemplary system according to the present disclosure comprises a computing device that in operation, causes the system to receive financial product or financial portfolio data, map the financial product to a risk factor, execute a risk factor simulation process involving the risk factor, generate product profit and loss values for the financial product or portfolio profit and loss values for the financial portfolio based on the risk factor simulation process, and determine an initial margin for the financial product. The risk factor simulation process can be a filtered historical simulation process.

Abstract: An image processing method is configured to split a deconvolution kernel according to a preset splitting mode to obtain a sub-convolution kernel. And then, determining an original sub-matrix corresponding to the sub-convolution kernel, according to parameters of the sub-convolution kernel and an image feature matrix, and performing a convolution operation on the original sub-matrix corresponding to the sub-convolution kernel by using the sub-convolution kernel to obtain a deconvolution sub-matrix corresponding to each sub-convolution kernel; determining a target feature matrix according to the deconvolution sub-matrix corresponding to the sub-convolution kernel.

Abstract: An exemplary system according to the present disclosure comprises a computing device that in operation, causes the system to receive financial product or financial portfolio data, map the financial product to a risk factor, execute a risk factor simulation process involving the risk factor, generate product profit and loss values for the financial product or portfolio profit and loss values for the financial portfolio based on the risk factor simulation process, and determine an initial margin for the financial product. The risk factor simulation process can be a filtered historical simulation process.

Abstract: An image processing method is configured to split a deconvolution kernel according to a preset splitting mode to obtain a sub-convolution kernel. And then, determining an original sub-matrix corresponding to the sub-convolution kernel, according to parameters of the sub-convolution kernel and an image feature matrix, and performing a convolution operation on the original sub-matrix corresponding to the sub-convolution kernel by using the sub-convolution kernel to obtain a deconvolution sub-matrix corresponding to each sub-convolution kernel; determining a target feature matrix according to the deconvolution sub-matrix corresponding to the sub-convolution kernel.

Abstract: Particles formed from an alkai metal or alkaline earth metal and halide, for example, sodium and chloride, are provided. The particles can have a hydrophilic coating or external layer, formed of, for example, a polyether-lipid conjugate. In preferred embodiments, the lipid is a phospholipid such as a phosphoethanolamine, and the polyether is a polyethylene glycol such as a PEG amine. Methods making the particles by, for example, a microemulsion reaction, are also provided. Pharmaceutical compositions including a plurality of particles and a pharmaceutically acceptable carrier are also disclosed. Typically the compositions include an effective amount of particles to treat a disease or condition, particularly cancer, in a subject in need thereof. The particles are typically nanoparticles, for example, between about 10 nm and 250 nm and can be monodisperse.

Abstract: An exemplary system according to the present disclosure comprises a computing device that in operation, causes the system to receive financial product or financial portfolio data, map the financial product to a risk factor, execute a risk factor simulation process involving the risk factor, generate product profit and loss values for the financial product or portfolio profit and loss values for the financial portfolio based on the risk factor simulation process, and determine an initial margin for the financial product. The risk factor simulation process can be a filtered historical simulation process.

Abstract: The present disclosure is applied for artificial intelligence (AI) technology field and provided a method for gradient updating of an image processing model and a related apparatus thereof. The method includes: determining a convolution kernel and convoluted data corresponding to each convolution layer by invoking a direct memory access (DMA) controlling module, according to convolution parameters of each convolution layer in the image processing model, and storing the convolution kernel and the convoluted data into a first cache space and a second cache space, respectively, the convolution kernel including a convolution kernel for an original image feature gradient and a convolution kernel for an original weight gradient; and performing an inverted convolution calculation based on the convolution kernel in the first cache space and the convoluted data in the second cache space to update the original image feature gradient and the original weight gradient of each convolution layer.

Abstract: An exemplary system according to the present disclosure comprises a computing device that in operation, causes the system to receive financial product or financial portfolio data, map the financial product to a risk factor, execute a risk factor simulation process involving the risk factor, generate product profit and loss values for the financial product or portfolio profit and loss values for the financial portfolio based on the risk factor simulation process, and determine an initial margin for the financial product. The risk factor simulation process can be a filtered historical simulation process.

Abstract: Disclosed in the present invention is a novel compound as FLT3 and AXL inhibitors. Specifically, disclosed are a compound represented by formula (I) and a pharmacologically acceptable salt thereof.

Abstract: In a method of coating a photo resist over a wafer, dispensing the photo resist from a nozzle over the wafer is started while rotating the wafer, and dispensing the photo resist is stopped while rotating the wafer. After starting and before stopping the dispensing the photo resist, a wafer rotation speed is changed at least 4 times. During dispensing, an arm holding the nozzle may move horizontally. A tip end of the nozzle may be located at a height of 2.5 mm to 3.5 mm from the wafer.

Abstract: A component installation system includes an engagement clamp having a circular shape coupled to a robotic arm, being configured to engage an annular component. The component installation system further includes an actuator coupled to the engagement clamp and operable to cause the engagement clamp to engage and disengage the annular component, and a heating element coupled to the engagement clamp and arranged to heat the annular component engaged within the engagement clamp. The component installation system further includes a controller in communication with the robotic arm, the actuator and the heating element.

Abstract: An exemplary system according to the present disclosure comprises a computing device that in operation, causes the system to receive financial product or financial portfolio data, map the financial product to a risk factor, execute a risk factor simulation process involving the risk factor, generate product profit and loss values for the financial product or portfolio profit and loss values for the financial portfolio based on the risk factor simulation process, and determine an initial margin for the financial product. The risk factor simulation process can be a filtered historical simulation process.