Abstract: Disclosed are compounds of Formula (I) to (VIII): or a stereoisomer, tautomer, pharmaceutically acceptable salt, solvate or prodrug thereof, wherein R3 is a tricyclic heteroaryl group substituted with R3a and zero to 2 R3b; and R1, R2, R3a, R3b, R4, and n are defined herein. Also disclosed are methods of using such compounds as PAR4 inhibitors, and pharmaceutical compositions comprising such compounds. These compounds are useful in inhibiting or preventing platelet aggregation, and are useful for the treatment of a thromboembolic disorder or the primary prophylaxis of a thromboembolic disorder.

Abstract: This document provides methods and materials involved in treating cancer. For example, compositions containing a fusion polypeptide (or a polypeptide conjugate) having a tumor-targeting moiety and a phagocyte engaging moiety as well as methods and materials for using such compositions to treat cancer are provided.

Abstract: This document provides methods and materials related to treating cancer. For example, methods and materials for using particles (e.g., nanoparticles) containing (a) one or more molecules having the ability to bind to a cancer cell (e.g., a human breast cancer cell) and (b) one or more molecules having the ability to bind to an APC (e.g., a human macrophage) to treat cancer are provided.

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 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: This document provides methods and materials involved in treating cancer. For example, methods and materials for using a BiPE that can include (a) one or more molecules having the ability to bind to a cancer cell (e.g., a human breast cancer cell), (b) an optional linker component, and (c) one or more molecules having the ability to bind to an antigen presenting cell (e.g., a human macrophage) to treat cancer are provided.

Abstract: A method and detection system for determining volumetric parameters of liquid within a container using the diffusion of a reference amount of gas are described The method includes filling a first tube with gas to a reference pressure, allowing the gas to diffuse to the container, and measuring a first stable pressure of the gas. The container is then filled with an amount of the liquid and the first tube is filled with gas to the reference pressure. The supply of gas diffuses to the container and a second stable pressure of the gas is measured. Then, a portion of the amount of the liquid is discharged from the container and the first tube is filled with gas to the reference pressure. The supply of gas diffuses to the container, an instantaneous pressure of the supply of gas is detected, and an instantaneous volume of the liquid within the container is calculated.

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 are a segmented sentence recognition method and device for a human-machine intelligent question-answer system. One particular embodiment of the method includes: receiving a current sentence input by a user; inputting the current sentence into a pre-trained segmented sentence recognition model to obtain a first probability of the current sentence being a complete sentence, wherein the segmented sentence recognition model is used for determining the first probability according to a probability corresponding to a Chinese language model of the current sentence and a probability corresponding to a recurrent neural network language model; and if the first probability is greater than a pre-set first threshold value, determining the current sentence to be a complete sentence. In the embodiment, a Chinese language model and a recurrent neural network language model are merged to obtain a segmented sentence recognition model for determining a probability of a current sentence being a complete sentence.

Abstract: Disclosed are a segmented sentence recognition method and device for a human-machine intelligent question-answer system. One particular embodiment of the method includes: receiving a current sentence input by a user; inputting the current sentence into a pre-trained segmented sentence recognition model to obtain a first probability of the current sentence being a complete sentence, wherein the segmented sentence recognition model is used for determining the first probability according to a probability corresponding to a Chinese language model of the current sentence and a probability corresponding to a recurrent neural network language model; and if the first probability is greater than a pre-set first threshold value, determining the current sentence to be a complete sentence. In the embodiment, a Chinese language model and a recurrent neural network language model are merged to obtain a segmented sentence recognition model for determining a probability of a current sentence being a complete sentence.

Abstract: A method and detection system for determining volumetric parameters of liquid within a container using the diffusion of a reference amount of gas are described The method includes filling a first tube with gas to a reference pressure, allowing the gas to diffuse to the container, and measuring a first stable pressure of the gas. The container is then filled with an amount of the liquid and the first tube is filled with gas to the reference pressure. The supply of gas diffuses to the container and a second stable pressure of the gas is measured. Then, a portion of the amount of the liquid is discharged from the container and the first tube is filled with gas to the reference pressure. The supply of gas diffuses to the container, an instantaneous pressure of the supply of gas is detected, and an instantaneous volume of the liquid within the container is calculated.

Abstract: This document provides methods and materials related to treating cancer. For example, methods and materials for using particles (e.g., nanoparticles) containing (a) one or more molecules having the ability to bind to a cancer cell (e.g., a human breast cancer cell) and (b) one or more molecules having the ability to bind to an APC (e.g., a human macrophage) to treat cancer are provided.

Abstract: An integrated circuit includes a data storage circuit, a weight storage circuit, and an operation circuit. The data storage circuit stores, according to a preset control instruction, gray-scale value data of an image in a first preset time period; the weight storage circuit stores a data weight corresponding to the gray-scale value data in the first preset time period; the operation circuit carries out an operation on the gray-scale value data and the data weight in the first preset time period and outputs first data; the data storage circuit further stores the first data according to the preset control instruction in a second preset time period; the weight storage circuit further stores the data weight corresponding to the first data in the second preset time period; the operation circuit carries out an operation on the first data and the data weight in the second time period and outputs second data.

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: A method for manufacturing a semiconductor device includes forming a forming a photoresist layer over a semiconductor substrate and selectively exposing the photoresist layer to actinic radiation. After selectively exposing the photoresist layer to actinic radiation, storing the semiconductor substrate in a semiconductor substrate container under an ambient of extreme dry clean air or inert gas. The method also includes after the storing the semiconductor substrate, performing a first heating of the photoresist layer.

Abstract: An integrated circuit includes a data storage circuit, a weight storage circuit, and an operation circuit. The data storage circuit stores, according to a preset control instruction, gray-scale value data of an image in a first preset time period; the weight storage circuit stores a data weight corresponding to the gray-scale value data in the first preset time period; the operation circuit carries out an operation on the gray-scale value data and the data weight in the first preset time period and outputs first data; the data storage circuit further stores the first data according to the preset control instruction in a second preset time period; the weight storage circuit further stores the data weight corresponding to the first data in the second preset time period; the operation circuit carries out an operation on the first data and the data weight in the second time period and outputs second data.

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 APJ agonists which may be used as medicaments.

Abstract: A semiconductor structure with current flow path direction controlling is provided, which comprises a substrate and an epitaxial layer having a first conductivity type on the substrate. A first doped region is on the substrate and the first doped region has the first or a second conductivity type. A second doped region is enclosed by the epitaxial layer and has the second conductivity type. A third doped region is located in the epitaxial layer and between the first and second doping regions, and the third doped region has the second conductivity type. A fourth doped region is enclosed by the third doped region and has the first conductivity type. A fifth doped region is enclosed by the first doped region and the conductivity type is opposite to that of the first doped region.

Abstract: A semiconductor structure with current flow path direction controlling is provided, which comprises a substrate and an epitaxial layer having a first conductivity type on the substrate. A first doped region is on the substrate and the first doped region has the first or a second conductivity type. A second doped region is enclosed by the epitaxial layer and has the second conductivity type. A third doped region is located in the epitaxial layer and between the first and second doping regions, and the third doped region has the second conductivity type. A fourth doped region is enclosed by the third doped region and has the first conductivity type. A fifth doped region is enclosed by the first doped region and the conductivity type is opposite to that of the first doped region.

Abstract: The present disclosure is generally related to transformed host cells and their use for the production of branched-chain acyl-ACPs, branched-chain acyl-ACP-derived chemicals and fuels, branched-chain fatty acids and producing branched-chain fatty acid-derived chemicals and fuels. More particularly, disclosed herein are transformed host cells and methods for producing branched-chain acyl-ACPs and branched-chain fatty acids in high titer and high percentages. Also disclosed are methods for producing specific branched-chain fatty acid species and producing branched-chain fatty acid-derived chemicals and fuels such as, for example, branched-chain alcohols and branched-chain fatty acid ethyl esters.