Abstract: Illustrative embodiments of determining geometric characteristics of reflective surfaces are disclosed. In at least one illustrative embodiment, a method of determining geometric characteristics of reflective surfaces includes sensing electromagnetic waves with a sensor, where the electromagnetic waves have been reflected off a reflective surface of a specimen from a target structure including a feature point. The method further includes determining a displacement of the feature point of the target structure indicated by the sensed electromagnetic waves relative to reference data indicating a reference location for the feature point and determining a surface slope of a point of the reflective surface based on the determined displacement of the feature point of the target structure.

Abstract: Selection and serving of content items may include receiving data indicative of a status of an energy source of a device with a request for a content item. A first received content item may be associated with a first energy consumption level and a second received content item may be associated with a second energy consumption level. The accessed content items are responsive to the request for a content item. The first energy consumption level may be higher than the second energy consumption level. The first content item or the second content item may be selected based, at least in part, on the received data indicative of the status of the energy source of the device, and data to display the selected content item may be provided to the device.

Abstract: Selection and serving of content items may include receiving data indicative of a status of an energy source of a device with a request for a content item. A first received content item may be associated with a first energy consumption level and a second received content item may be associated with a second energy consumption level. The accessed content items are responsive to the request for a content item. The first energy consumption level may be higher than the second energy consumption level. The first content item or the second content item may be selected based, at least in part, on the received data indicative of the status of the energy source of the device, and data to display the selected content item may be provided to the device.

Abstract: Provided is a process that includes: determining that a training set lacks an image of an object with a given pose, context, or camera; composing, based on the determination, a video capture task; obtaining a candidate video; selecting a subset of frames of the candidate video as representative; determining that a given frame among the subset depicts the object from the given pose, context, or camera; and augmenting the training set with the given frame.

Abstract: Provided is a technique for determining a context of an image and an object depicted by the image based on the context. A trained context classification model may determine a context of an image, and a trained object recognition model may determine an object depicted by the image based on the image and the context. Provided is also a technique for determining an object depicted within an image based on an input location of an input detected by a display screen. An object depicted within an image may be detected based on a distance in feature space between an image feature vector of an image and a feature vector of the object, and a distance in pixel-space between an input location of an input and location of the object within the image.

Abstract: Antibodies that bind to programmed cell death protein 1 (PD-1), compositions comprising such antibodies, and methods of making and using such antibodies are disclosed.

Abstract: Provided is a process that includes training a computer-vision object recognition model with a training data set including images depicting objects, each image being labeled with an object identifier of the corresponding object; obtaining a new image; determining a similarity between the new image and an image from the training data set with the trained computer-vision object recognition model; and causing the object identifier of the object to be stored in association with the new image, visual features extracted from the new image, or both.

Abstract: Semiconductor-Oxides Nanotubes-Based Composite Particles Useful for Dye-Removal and Process Thereof, has been described in this invention, which relates to an innovative method, involving an ion-exchange mechanism operating under the dark-condition in an aqueous solution, for the processing of innovative products consisting of the nanotubes of semiconductor-oxides deposited on (or anchored to or attached to) the surface of flyash particles and metal-oxide (magnetic and non-magnetic) nanoparticles. The resulting micro-nano and nano-nano integrated composite particles find potential application in the removal of an organic synthetic-dye from an aqueous solution and industry effluent via the surface-adsorption process, involving the ion-exchange and electrostatic-attraction mechanisms, operating in the dark-condition.

Abstract: In accordance with an embodiment, described herein is a system and method for generation of starter websites. A content management system (CMS), such as for example, an Oracle Content and Experience Cloud (CEC) environment, can be provided. The content management system can include a site generator within the CMS. The site generator can receive a selection of content managed by the CMS, wherein the content includes data associated with the content. The site generator can determine, based on the data associated with the content, a layout of the content on a document. The site generator can generate machine readable code that, when interpreted or executed by a machine, causes the machine to produce a document including the content wherein the content is displayed in the determined layout.

Abstract: Techniques describes herein include using software tools and feature vector comparisons to analyze and recommend images, text content, and other relevant media content from a content repository. A digital content recommendation tool may communicate with a number of back-end services and content repositories to analyze text and/or visual input, extract keywords or topics from the input, classify and tag the input content, and store the classified/tagged content in one or more content repositories. Input text and/or input images may be converted into vectors within a multi-dimensional vector space, and compared to a plurality of feature vectors within a vector space to identify relevant content items within a content repository. Such comparisons may include exhaustive deep searches and/or efficient tag-based filtered searches. Relevant content items (e.g., images, audio and/or video clips, links to related articles, etc.

Abstract: In accordance with an embodiment, described herein is a system and method for management and delivery of shoppable content data. A modeled content architecture can be provided within a content management system (CMS), such as for example, an Oracle Content and Experience Cloud (CEC) environment. The modeled content architecture can include document-type objects that represent a type of document, and field objects that represent a type of field that can be added to a document. The document-type objects and field objects can include attributes that describe the objects. An admin API operates as a contract between the CMS and a commerce provider system, for example an online retailer, and facilitates communication and data exchange between the CMS and the commerce provider.

Abstract: Techniques describes herein include using software tools and feature vector comparisons to analyze and recommend images, text content, and other relevant media content from a content repository. A digital content recommendation tool may communicate with a number back-end services and content repositories to analyze text and/or visual input, extract keywords or topics from the input, classify and tag the input content, and store the classified/tagged content in one or more content repositories. Input text and/or input images may be converted into vectors within a multi-dimensional vector space, and compared to a plurality of feature vectors within a vector space to identify relevant content items within a content repository. Such comparisons may include exhaustive deep searches and/or efficient tag-based filtered searches. Relevant content items (e.g., images, audio and/or video clips, links to related articles, etc.

Abstract: Described herein are progestin compounds that have extended release rates and that can be used without an estrogen to produce a contraceptive state.

Abstract: A system is presented. The system includes an acquisition subsystem configured to obtain images corresponding to a target domain. Moreover, the system includes a processing subsystem in operative association with the acquisition subsystem and including a memory augmented domain adaptation platform configured to compute one or more features of an input image corresponding to a target domain, identify a set of support images based on the features of the input image, where the set of support images corresponds to the target domain, augment an input to a machine-learnt model with a set of features, a set of masks, or both corresponding to the set of support images to adapt the machine-learnt model to the target domain, and generate an output based at least on the set of features, the set of masks, or both. Additionally, the system includes an interface unit configured to present the output for analysis.

Abstract: The present approach relates to a system capable of life-long learning in a deep learning context. The system includes a deep learning network configured to process an input dataset and perform one or more tasks from among a first set of tasks. As an example, the deep learning network may be part of an imaging system, such as a medical imaging system, or may be used in industrial applications. The system further includes a learning unit communicatively coupled to the deep learning network 102 and configured to modify the deep learning network so as to enable it to perform one or more tasks in a second task list without losing the ability to perform the tasks from the first list.

Abstract: Described herein are methods of using compounds that inhibit leukemia inhibitory factor (LIF) and/or block of the leukemia inhibitory factor receptor for treatment of liver fibrosis, proliferation of spinal tumors, and in combination therapy with an immunotherapeutic agent.

Abstract: Selection and serving of content items may include receiving data indicative of a status of an energy source of a device with a request for a content item. A first received content item may be associated with a first energy consumption level and a second received content item may be associated with a second energy consumption level. The accessed content items are responsive to the request for a content item. The first energy consumption level may be higher than the second energy consumption level. The first content item or the second content item may be selected based, at least in part, on the received data indicative of the status of the energy source of the device, and data to display the selected content item may be provided to the device.

Abstract: A polyetherimide of improved color and processes for preparing the polyetherimide are disclosed.

Abstract: A method of preparing a polyetherimide and an improved polyetherimide are disclosed. Low color polyetherimides are disclosed along with process improvements which produce the reduced color of the final product polymers.

Abstract: Antibodies that bind to programmed cell death protein 1 (PD-1), compositions comprising such antibodies, and methods of making and using such antibodies are disclosed.