Abstract: An imaging system includes a microscope to generate magnified images of regions of interest of a tissue sample, a camera to capture and store the magnified images, and a controller. The controller is configured to, for each magnification level in a sequence of increasing magnification levels, image one or more regions of interest of the tissue sample at the current magnification level. For each region of interest, data is generated defining one or more refined regions of interest based on the magnified image of the region of interest of the tissue sample at the current magnification level. Each refined region of interest corresponds to a proper subset of the tissue sample, and the refined regions of interest of the tissue sample provide the regions of interest to be imaged at a next magnification level from the sequence of increasing magnification levels.

Abstract: A system comprises a computer that includes a processor and a memory.

Abstract: The present invention relates to a compound of formula A useful as potential anticancer agents against human cancer cell lines and process for the preparation thereof.

Abstract: Systems, methods, and computer-readable storage media are provided for parallel initiating of devices in a system. The method includes generating an affinity table that stores option ROM execution data including first data associated with a first device and second data associated with a second device and triggering, based on the affinity table, a first initialization of the first device and executing a first option ROM code during a pre-boot phase and triggering, based on the affinity table, a second initialization of the second device and executing a second option ROM code during the pre-boot phase. Triggering the first initialization of the first device and triggering the second initialization of the second device during the pre-boot phase is performed such that at least a part of the first initialization of the first device and at least part of the second initialization of the second device are executed in parallel.

Abstract: A pipe clamp includes a linearly extending base portion. The base portion has a channel in which a pipe is positioned when inserted into the pipe clamp. The pipe clamp further includes two walled portions that extend from longitudinal edges of the base portion. The pipe clamp may further include a curved flexible support member that includes a fixed end and a moveable end. The fixed end is rigidly attached to an inner surface of one of the walled portions. Further, the flexible member is such that it extends in a curved manner, initially extending away from the inner surface of the walled portion and then curving inwards toward the walled portion into a recess.

Abstract: A method for preparing an icephobic surface includes cleaning, etching and anodizing a target surface and applying fluorinated nanoparticles to the cleaned, etched and anodized target surface. A surface is treated according to this method.

Abstract: A multifunctional coating method involves cleaning a surface, applying a layer of corrosion-resistant alloy coating to the surface, and applying an oleo-hydrophobic composite coating over the corrosion-resistant alloy coating. An oil and gas pipe has an inner surface with a multifunctional coating applied using the multifunctional coating method, and has an inner oleo-hydrophobic composite coating, beneath the inner oleo-hydrophobic composite coating a corrosion-resistant alloy coating, and beneath the corrosion-resistant alloy coating untreated pipe or any other metallic substrate.

Abstract: Certain aspects of the present disclosure provide techniques for automatically detecting and classifying tumor regions in a tissue slide. The method generally includes obtaining a digitized tissue slide from a tissue slide database and determining, based on output from a tissue classification module, a type of tissue of shown in the digitized tissue slide. The method further includes determining, based on output from a tumor classification model for the type of tissue, a region of interest (ROI) of the digitized tissue slide and generating a classified slide showing the ROI of the digitized tissue slide and an estimated diameter of the ROI. The method further includes displaying on an image display unit, the classified slide and user interface (UI) elements enabling a pathologist to enter input related to the classified slide.

Abstract: A mold for encapsulating an electrical component. The mold includes an encapsulation chamber and an air inlet. The encapsulation chamber is defined by a housing, an open top, and a solid bottom. The housing includes a solid outer wall, a permeable inner wall, and an air chamber between the solid outer wall and the inner wall. The air inlet is configured to introduce a gas into the air chamber. The encapsulation chamber is sized and shaped to receive the electrical component while leaving a gap for the introduction of encapsulant around the electrical component. The encapsulant may be silicone rubber. To remove an encapsulated electrical component, pressurized air may be introduced through the air inlet into the air chamber, passing through the permeable inner wall, separating the outer surface of the encapsulant from the housing, and allowing the combination casting to be removed from the mold.

Abstract: The present invention relates to a compound of formula A useful as potential anticancer agents against human cancer cell lines and process for the preparation thereof.

Abstract: Certain aspects of the present disclosure provide techniques for automatically detecting and classifying tumor regions in a tissue slide. The method generally includes obtaining a digitized tissue slide from a tissue slide database and determining, based on output from a tissue classification module, a type of tissue of shown in the digitized tissue slide. The method further includes determining, based on output from a tumor classification model for the type of tissue, a region of interest (ROI) of the digitized tissue slide and generating a classified slide showing the ROI of the digitized tissue slide and an estimated diameter of the ROI. The method further includes displaying on an image display unit, the classified slide and user interface (UI) elements enabling a pathologist to enter input related to the classified slide.

Abstract: A method of managing an interaction of a student with a class about a subject, the subject having at least one lesson having at least one topic, the topic having at least one of exposition content, demonstration content and test content, the test content having a query and a scheme for mapping a response to a result, comprising: presenting content to the student and storing the interaction of the student with the content presented.

Abstract: The disclosed technology can receive a voice query or text query in a natural language and translate it from natural language to a native database management language to respond to the query. For example, a human can ask his or her computer to “show large emails from December 2016”, and a data agent on computer can receive the voice request, convert audio associated with the voice to words in natural language, convert natural language into a SQL query, and convert the SQL query into a database management query. The data agent is trained with a corpus of technical documents and rules to determine the intent or keywords for answering the query. In some implementations, the disclosed technology can also include a chatbot and/or administrative assistant to enable a human to interface with a database management software using voice or text. In some implementations, the disclosed technology allows the user to automatically connect to a help desk technician to assist in completing the query.

Abstract: The disclosed technology can receive a voice query or text query in a natural language and translate it from natural language to a native database management language to respond to the query. For example, a human can ask his or her computer to “show large emails from December 2016”, and a data agent on computer can receive the voice request, convert audio associated with the voice to words in natural language, convert natural language into a SQL query, and convert the SQL query into a database management query. The data agent is trained with a corpus of technical documents and rules to determine the intent or keywords for answering the query. In some implementations, the disclosed technology can also include a chatbot and/or administrative assistant to enable a human to interface with a database management software using voice or text. In some implementations, the disclosed technology allows the user to automatically connect to a help desk technician to assist in completing the query.

Abstract: The disclosed technology can receive a voice query or text query in a natural language and translate it from natural language to a native database management language to respond to the query. For example, a human can ask his or her computer to “show large emails from December 2016”, and a data agent on computer can receive the voice request, convert audio associated with the voice to words in natural language, convert natural language into a SQL query, and convert the SQL query into a database management query. The data agent is trained with a corpus of technical documents and rules to determine the intent or keywords for answering the query. In some implementations, the disclosed technology can also include a chatbot and/or administrative assistant to enable a human to interface with a database management software using voice or text.

Abstract: A method of managing an interaction of a student with a class about a subject, the subject having at least one lesson having at least one topic, the topic having at least one of exposition content, demonstration content and test content, the test content having a query and a scheme for mapping a response to a result, comprising: presenting content to the student and storing the interaction of the student with the content presented.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a machine learning model to segment magnified images of tissue samples. The method includes obtaining a magnified image of a tissue sample; processing an input comprising: the image, features derived from the image, or both, in accordance with current values of model parameters of a machine learning model to generate an automatic segmentation of the image into a plurality of tissue classes; providing, to a user through a user interface, an indication of: (i) the image, and (ii) the automatic segmentation of the image; determining an edited segmentation of the image, comprising applying modifications specified by the user to the automatic segmentation of the image; and determining updated values of the model parameters of the machine learning model based the edited segmentation of the image.

Abstract: A waste material improvement and reuse method involves identifying an available material having a crush resistance that does not meet a requirement for use as proppant, but which can be improved to meet the requirement, and modifying a surface of the available material to improve the crush resistance to meet the requirement by applying a binding agent and/or an encapsulating agent to the available material, forming clumps of particles of the available material and increasing crush resistance.

Abstract: A method of managing an interaction of a student with a class about a subject, the subject having at least one lesson having at least one topic, the topic having at least one of exposition content, demonstration content and test content, the test content having a query and a scheme for mapping a response to a result, comprising: presenting content to the student and storing the interaction of the student with the content presented.

Abstract: Methods and systems for adding functionality to an account of a language processing system where the functionality is associated with a second account of a first application system is described herein. In a non-limiting embodiment, an individual may log into a first account of a language processing system and log into a second account of a first application system. While logged into both the first account and the second account, a button included within a webpage provided by the first application may be invoked. A request capable of being serviced using the first functionality may be received by the language processing system from a device associated with the first account. The language processing system may send first account data and the second account data to the first application system to facilitate an action associated with the request, thereby enabling the first functionality for the first account.