Abstract: Systems and methods for translation evaluation are provided. One or more aspects of the systems and methods includes receiving a source text, a context identifier for the source text, and a translation text, wherein the source text comprises text from a software application and the context identifier specifies a context of the source text within the software application; generating a source text representation and a translation text representation based on the source text, the context identifier, and the translation text using an encoder of a machine learning model; and generating translation quality information based on the source text representation and the translation text representation using a decoder of the machine learning model.

Abstract: Messages are processed to generate effectiveness predictions and/or other insights associated with the messages. Candidate messages are processed through a natural language processing (NLP) component to parse the candidate message into message elements for further processing. The message elements are converted to a vector or set of vectors, which are provided as input to a machine learning model to make predictions of message effectiveness. A contribution score can be made for each message element of the candidate message, which may be indicative of the importance or relevance for the individual message element to the overall predicted message effectiveness. Other message elements not originally within the message can be provided as candidates to replace message elements already located within the message. In this way, a message that is likely to be effective, such being likely to have a high conversion rate, can be published or otherwise distributed.

Abstract: This disclosure involves the automatic sizing and placement of text within an image background. For example, a computing system obtains reference font size information for a font type to be applied to message text for display on a digital image. The computing system detects, within an image background of the digital image, a target region having proportions that enclose the message text based on the reference font size information. The computing system determines a target font size for the message text. The target font size allows the message text, when rendered in the font type at the target font size, to fit within the target region of the image background. The computing system generates a combined digital image by rendering the message text in the font type at the target font size within the target region of the image background.

Abstract: A SnBiSb series low-temperature lead-free solder and a preparation method thereof, which belongs to the technical field of low-temperature soldering. The lead-free solder includes by weight the following composition: 32.8-56.5% of Bi, 0.7-2.2% of Sb, with the remainder being Sn, wherein the weight percentages of Bi and Sb satisfy a relationship of b=0.006a2?0.672a+19.61+c, wherein the symbol a represents the weight percentage of Bi, the symbol b represents the weight percentage of Sb, and the range of c is ?1.85?c?1.85. The solder alloy has a peritectic or near peritectic structure with a low melting point, and has an excellent mechanical performance and reliability, and applicable to the field of low-temperature soldering.

Abstract: Messages are processed to generate effectiveness predictions and/or other insights associated with the messages. Candidate messages are processed through a natural language processing (NLP) component to parse the candidate message into message elements for further processing. The message elements are converted to a vector or set of vectors, which are provided as input to a machine learning model to make predictions of message effectiveness. A contribution score can be made for each message element of the candidate message, which may be indicative of the importance or relevance for the individual message element to the overall predicted message effectiveness. Other message elements not originally within the message can be provided as candidates to replace message elements already located within the message. In this way, a message that is likely to be effective, such being likely to have a high conversion rate, can be published or otherwise distributed.

Abstract: Messages are processed to generate effectiveness predictions and/or other insights associated with the messages. Candidate messages are processed through a natural language processing (NLP) component to parse the candidate message into message elements for further processing. The message elements are converted to a vector or set of vectors, which are provided as input to a machine learning model to make predictions of message effectiveness. A contribution score can be made for each message element of the candidate message, which may be indicative of the importance or relevance for the individual message element to the overall predicted message effectiveness. Other message elements not originally within the message can be provided as candidates to replace message elements already located within the message. In this way, a message that is likely to be effective, such being likely to have a high conversion rate, can be published or otherwise distributed.

Abstract: The disclosure provides methods of tolerizing or treating a subject suffering from an autoimmune or autoinflammatory disease or disorder to an antigen associated with the autoimmune disease or disorder. The disclosure also features kits for carrying out the methods.

Abstract: This disclosure involves the automatic sizing and placement of text within an image background. For example, a computing system obtains reference font size information for a font type to be applied to message text for display on a digital image. The computing system detects, within an image background of the digital image, a target region having proportions that enclose the message text based on the reference font size information. The computing system determines a target font size for the message text. The target font size allows the message text, when rendered in the font type at the target font size, to fit within the target region of the image background. The computing system generates a combined digital image by rendering the message text in the font type at the target font size within the target region of the image background.

Abstract: This disclosure involves the automatic sizing and placement of text within an image background. For example, a computing system obtains reference font size information for a font type to be applied to message text for display on a digital image. The computing system detects, within an image background of the digital image, a target region having proportions that enclose the message text based on the reference font size information. The computing system determines a target font size for the message text. The target font size allows the message text, when rendered in the font type at the target font size, to fit within the target region of the image background. The computing system generates a combined digital image by rendering the message text in the font type at the target font size within the target region of the image background.

Abstract: Messages are processed to generate effectiveness predictions and/or other insights associated with the messages. Candidate messages are processed through a natural language processing (NLP) component to parse the candidate message into message elements for further processing. The message elements are converted to a vector or set of vectors, which are provided as input to a machine learning model to make predictions of message effectiveness. A contribution score can be made for each message element of the candidate message, which may be indicative of the importance or relevance for the individual message element to the overall predicted message effectiveness. Other message elements not originally within the message can be provided as candidates to replace message elements already located within the message. In this way, a message that is likely to be effective, such being likely to have a high conversion rate, can be published or otherwise distributed.

Abstract: This disclosure involves the automatic sizing and placement of text within an image background. For example, a computing system obtains reference font size information for a font type to be applied to message text for display on a digital image. The computing system detects, within an image background of the digital image, a target region having proportions that enclose the message text based on the reference font size information. The computing system determines a target font size for the message text. The target font size allows the message text, when rendered in the font type at the target font size, to fit within the target region of the image background. The computing system generates a combined digital image by rendering the message text in the font type at the target font size within the target region of the image background.

Abstract: The invention provides methods of tolerizing or treating a subject suffering from an autoimmune or autoinflammatory disease or disorder to an antigen associated with the autoimmune disease or disorder. The invention also features kits for carrying out the methods of the invention.

Abstract: A SnBiSb series low-temperature lead-free solder and a preparation method thereof, which belongs to the technical field of low-temperature soldering. The lead-free solder includes by weight the following composition: 32.8-56.5% of Bi, 0.7-2.2% of Sb, with the remainder being Sn, wherein the weight percentages of Bi and Sb satisfy a relationship of b=0.006a2?0.672a+19.61=c, wherein the symbol a represents the weight percentage of Bi, the symbol b represents the weight percentage of Sb, and the range of c is ?1.85?c?1.85. The solder alloy has a peritectic or near peritectic structure with a low melting point, and has an excellent mechanical performance and reliability, and applicable to the field of low-temperature soldering.

Abstract: The invention provides methods of tolerizing or treating a subject suffering from an autoimmune or autoinflammatory disease or disorder to an antigen associated with the autoimmune disease or disorder. The invention also features kits for carrying out the methods of the invention.

Abstract: The disclosure provides an image processing apparatus and method. The image processing apparatus may include: a filter for performing an iterative filtering on an input image; and an iterative filtering stopping device for determining whether to stop the iterative filtering according to a variation speed of the filtered image obtained from each iteration of the iterative filtering with increasing of iteration times.

Abstract: An image processing apparatus and method are disclosed.

Abstract: An image processing apparatus and method are disclosed.

Abstract: The disclosure provides an image processing apparatus and method. The image processing apparatus may include: a filter for performing an iterative filtering on an input image; and an iterative filtering stopping device for determining whether to stop the iterative filtering according to a variation speed of the filtered image obtained from each iteration of the iterative filtering with increasing of iteration times.