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The xPDFsuite software program is described. It is for processing and analyzing atomic pair distribution functions (PDF) from X-ray powder diffraction data. It provides a convenient GUI for SrXplanr and PDFgetX3, allowing the users to easily obtain 1D diffraction pattern from raw 2D diffraction images and then transform them to PDFs. It also bundles PDFgui which allows the users to create structure models and fit to the experiment data. It is specially useful for working with large numbers of datasets such as from high throughout measurements. Some of the key features are: real time PDF transformation and plotting; 2D waterfall, false color heatmap, and 3D contour plotting for multiple datasets; static and dynamic mask editing; geometric calibration of powder diffraction image; configurations and project saving and loading; Pearson correlation analysis on selected datasets; written in Python and support multiple platforms.
The task of Emotion-Cause Pair Extraction (ECPE) aims to extract all potential clause-pairs of emotions and their corresponding causes in a document. Unlike the more well-studied task of Emotion Cause Extraction (ECE), ECPE does not require the emoti
The annotation of domain experts is important for some medical applications where the objective groundtruth is ambiguous to define, e.g., the rehabilitation for some chronic diseases, and the prescreening of some musculoskeletal abnormalities without
Named entity recognition (NER) is a critical step in modern search query understanding. In the domain of eCommerce, identifying the key entities, such as brand and product type, can help a search engine retrieve relevant products and therefore offer
Modern deep learning techniques have enabled advances in image-based dietary assessment such as food recognition and food portion size estimation. Valuable information on the types of foods and the amount consumed are crucial for prevention of many c
The HGR is a quite challenging task as its performance is influenced by various aspects such as illumination variations, cluttered backgrounds, spontaneous capture, etc. The conventional CNN networks for HGR are following two stage pipeline to deal w