Abstract: The present invention relates to the use of a Raman spectral signature for detection of plant metabolites, specifically carotenoids, in tissue of a plant leaf. Carotenoids are used as a biomarker for an early, real-time diagnosis of shade avoidance syndrome (SAS) in growing plants in a non-invasive or non-destructive way in order to detect the adverse effect of the SAS upon their health, and ultimately their yield. The early, real-time diagnosis of SAS provides a window period within which further adverse effects of SAS may be slowed or prevented without negatively affecting the yield of growing plants or leafy vegetables.

Abstract: Processing a circuit design includes stabilizing the circuit design by a design tool that performs one or more iterations of implementation, optimization assessment, optimization, and stability assessment until a threshold stability level is achieved. The design tool determines, in response to satisfaction of the threshold stability level, different strategies based on features of the circuit design and likelihood that use of the strategies would improve timing. Each strategy includes parameter settings for the design tool. The design tool executes multiple implementation flows using different sets of strategies to generate alternative implementations. One implementation of the alternative implementations nearest to satisfying a timing requirement is selected.

Abstract: Methods, apparatus, and articles of manufacture to correct misattributions of media impressions are disclosed. An example method includes obtaining first demographic-based impressions via a beacon transmitted in response to access to content by a first set of panelists, obtaining, from a database proprietor, second demographic-based impressions of the content on a second set of persons, forming a pseudo-inverse matrix determined based in part on the first impressions, and having a truncated value and a damped value to form third demographic-based impressions of the content on the second set of persons based on the second impressions, and computing at least partially corrected demographic-based impressions values by multiplying a vector of database proprietor impression data by the pseudo-inverse matrix.

Abstract: Apparatuses, systems, and techniques to indicate contextual information to be used by available logical processors. In at least one embodiment, one or more circuits are to perform an application programming interface (API) to indicate a first set of contextual information to be used by a first subset of available processors.

Abstract: Provided is a method and/or system that facilitates offline sharing and verifying digital identity claims among NFC enabled portable smart devices that are enabled by enabling applications. The enabled portable smart-devices store, verify and share identity, peer to peer and offline. Each identity claim is digitally signed by an identity issuing authority, and the claim can be verified to reliably detect tampering of the claim and thus brings trust in the process of claim sharing and verifying the identity/credentials embodied in the claim. Either Blockchain or non-blockchain, as the backend system of the method/system, can be used, via an inter-operable middleware layer, for onboarding claim holders, claim verifiers, and claim issuers, and for creating/issuing, for managing digital identity claims. NFC, as the communication protocol, facilitates secure data sharing among the NFC-enabled devices.

Abstract: Pharmaceutical compositions comprising a SARS-CoV-2 E protein channel blocker and ORF3 inhibitors for treating or preventing SARS-CoV-2 virulence in a subject, are provided. Further provides is a pharmaceutical composition comprising a SARS-CoV-2 E protein channel blocker or an ORF3 inhibitor for preventing SARS-CoV-2 cell entry, uncoating and/or release from a cell.

Abstract: System for simultaneous measurement Raman and mid-infrared absorption signals from a sample, the system comprising an ATR crystal adapted for holding a sample thereon, at least one Raman excitation light source for Raman excitation, at least one FTIR excitation light source for FTIR excitation, at least one photodetector configured for collecting signals with a wavelength comprised at least in one of the IR spectrum or the Raman spectrum, a wavelength-dispersive device, such as a spectrometer, for collecting Raman signals, an excitation lens, and collection optics comprising a first collection lens.

Abstract: An information handling system includes a processor, and a system memory device to store program instructions executable by the processor. The processor mounts a boot media, and executes the boot media. During the executing of the boot media, the processor fetches a firmware inventory for the information handling system and generates a firmware compliance report to the firmware inventory. Based on the firmware compliance report, the processor generates a firmware download capsule for firmware updates for the firmware inventory. Based on the firmware download capsule, the processor downloads supported firmware update packages.

Abstract: The present invention relates to the use of a Raman spectral signature of nitrate, as a biomarker for an early, real-time diagnosis of nitrogen status in growing plants in a non-invasive or non-destructive way in order to detect nitrogen deficiency before the onset of any visible symptoms. The early, real-time diagnosis of nitrogen deficiency in plants makes it possible to correct nitrogen deficiency for the avoidance of negative effects on the yield and biomass of growing plants or leafy vegetables.

Abstract: The subject disclosure provides for a mechanism implemented with neural networks through machine learning to predict wear and relative performance metrics for performing repairs on drill bits in a next repair cycle, which can improve decision making by drill bit repair model engines, drill bit design, and help reduce the cost of drill bit repairs. The machine learning mechanism includes obtaining drill bit data from different data sources and integrating the drill bit data from each of the data sources into an integrated dataset. The integrated dataset is pre-processed to filter out outliers. The filtered dataset is applied to a neural network to build a machine learning based model and extract features that indicate significant parameters affecting wear. A repair type prediction is determined with the applied machine learning based model and is provided as a signal for facilitating a drill bit operation on a cutter of the drill bit.

Abstract: One or more temperature measuring devices are described that comprise; thermal imaging cameras capable of detection and provision of an exact location of at least one created dynamic image scanned by and triangulated with at least two thermal imaging cameras, and a gate that provides a constrained targeted pathway through which at least one person must travel so that dynamic thermal data of the person is captured as the person is moving through the gate and wherein thermal imaging cameras are geometrically arranged in positions such that the thermal imaging cameras field of view exist on or within the gate and wherein the person is scanned and provides targeted dynamic thermal data that is converted into one or more temperature readings that measure and transmit the temperature readings from one or more photodetectors that sense thermal radiation naturally emitted by people passing through.

Abstract: Implementations of ground fault circuit interrupter (GFCI) self-test circuits may include: a current transformer coupled to a controller, a silicon controlled rectifier (SCR) test loop coupled to the controller, a ground fault test loop coupled to the controller, and a solenoid coupled to the controller. The SCR test loop may be configured to conduct an SCR self-test during a first half wave portion of a phase and the ground fault test loop may be configured to conduct a ground fault self-test during a second half wave portion of a phase. An SCR may be configured to activate the solenoid to deny power to a load upon one of the SCR self-test or the ground fault self-test being identified as failing.

Abstract: Systems and methods of using sensor data for coordinate prediction are disclosed herein. In some example embodiments, for a place, a computer system accesses corresponding service data comprising pick-up data and drop-off data for requests, and accesses corresponding sensor data indicating at least one path of mobile devices of the requesters of the requests, with the at least one path comprising at least one of a pick-up path ending at the pick-up location indicated by the pick-up data and a drop-off path beginning at the drop-off location indicated by the drop-off data. In some example embodiments, the computer system generates at least one predicted geographic location using the paths indicated by the sensor data, and stores the at least one predicted geographic location in a database in association with an identification of the place.

Abstract: The present invention relates to an artificial intelligence based smart hand sanitization system (100) for elderly is provided. The system (100) comprises an inlet pipe (102), a liquid chamber (104), a washing model (110), a collection chamber (106), and an outlet pipe (108). The washing model (110) comprises a plurality of sensors (112), a first scanner unit (116), and a plurality of moveable nozzles (114), a second scanner unit (118), a central processing unit (120), and an alert generating unit (122). The smart portable system (100) for hand-wash has a plurality of moveable nozzles (114) to wash the hands of the user without wetting the accessories and cloth of the user. The present invention is a detachable smart portable system (100) for hand wash that can detach from the wall and be re-fixed on the wall according to the user requirement.

Abstract: A software developer can use a local browser, running on a local machine of the developer in a first location to access a real device (e.g., a smart phone) at a second location, such as a datacenter. The developer can select and control the remote device, in the second location. A mirrored display of the remote device can be generated on the local machine by transmitting a video feed of the screen of the remote device to the local machine. The developer can interact with the mirrored display, and the interactions can be transmitted to the remote device. The developer can activate an accessibility mode via the local machine to test accessibility features of a program.

Abstract: A method and an electronic device for generating activity reminder in Internet of Things (IoT) environment are provided. The method includes identifying movement of user towards an object in the IoT environment, predicting first intended activity of the user, associated with the object based on one or more factors, determining occurrence of one or more interrupts before performing the first intended activity, detecting movement of the user away from the object subsequent to the occurrence of the one or more interrupts and before performing the first intended activity, and generating activity reminder to the user, indicating to perform the first intended activity when the user does not move towards the object for a pre-determined time period.

Abstract: Alert correlation helps reduce the number of alerts that IT staff have to act upon. Methods include a computer program product that applies a machine driven deep learning model to effectively correlate alerts caused by a common root cause. The methods of correlation provide the user the context of the root cause for the alerts. Therefore, it helps the user to quickly identify, understand and resolve the problem thereby reducing the mean time to identification and resolution. Alerts caused by the same root cause therefor come together.

Abstract: An object storage system can receive chunks of an object. Each of the chunks includes data that is a subset of the object. Each subset has an arbitrary amount of data and at least two of the subsets include overlapping data. Each of the chunks is associated with a timestamp. Responsive to a request for the object the object storage system can reconstitute the object by including the subset of data from a most recent of the chunks based on the timestamps and including only nonoverlapping data from subsequent chunks in reverse chronological order based on the timestamps until the object is reconstituted. The object storage system can transmit the reconstituted object.

Abstract: A system including persistent storage for storing an object repository and a user data backup. The system also includes a manager that obtains fragmented user data associated with an object that is potentially duplicative of an object stored in the object repository; makes a determination that the object is duplicative based on a copy of the object stored in the object repository; in response to making the determination, adds the fragmented user data to a user data backup without adding the object to the backup; associates the fragmented user data in the user data backup with the copy of the object stored in the object repository; and stores the user data backup in the persistent storage.

Abstract: A highly available database system includes a first instance of a database server on a first cluster of a virtual computing system, a second instance of the database server on a second cluster of the virtual computing system, a first instance of an administration database on the first cluster, and a second instance of the administration database on the second cluster. The first instance of the database server and the second instance of the database server form a highly available database server, the first instance of the administration database and the second instance of the administration database form a highly available administration database, and the first instance of the database server, the second instance of the database server, the first instance of the administration database, and the second instance of the administration database are configured to manage at least one customer database.