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: 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: 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: 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: 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.

Abstract: A computing system is provided implementing a text miner configured to mine unstructured data from unstructured text sources and extract features of a target computer system, and a data flow diagram editor configured to process the extracted features to identify system elements of the target computer system and interrelationships between the identified system elements, and to identify system-related candidate properties of the system elements, and to populate a system element template for each identified system element with the system-related candidate properties for that element. The data flow diagram editor is configured to generate a data flow diagram for the target computer system comprising each identified system element having the candidate properties adopted according to the system property adoption user input, and is configured to display the generated data flow diagram in the graphical user interface.

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: In an approach for creating synthetic visual inspection data sets for training an artificial intelligence computer vision deep learning model utilizing augmented reality, a processor enables a user to capture a plurality of images of an anchor object using a camera on a user computing device. A processor receives the plurality of images of the anchor object from the user. A processor generates a baseline model of an anchor object. A processor generates a training data set. A processor trains the baseline model of the anchor object. A processor creates a trained Artificial Intelligence (AI) computer vision deep learning model. A processor enables the user to interact with the trained AI computer vision deep learning model in an access mode.

Abstract: An in vitro method for detecting presence of cancer includes obtaining a single hair sample. An x-ray beam is emitted from a source towards the hair sample. A small angle X-ray scattering (SAXS) intensity profile is generated after the x-ray beam hits the hair sample. The SAXS profile is received on a detector to obtain SAXS data, which is desmeared and Kratky Analysis is performed. A relative estimation of peak area under 1.38 nm?1 to 0.89 nm?1 from keratin and lipid content in the hair sample is performed to obtain R and is corrected by dividing by D, thickness of the hair. R? is computed using formula: 10×R2/(D?R). The value of R? is compared with clinically validated samples. If R? value is below 0.7, it indicates the presence of cancer and if it is above 0.8, it indicates absence of cancer.

Abstract: Disclosed are system 100 and method of energy efficient hot and cold water management. The system 100 comprises: a control unit 101 for dynamically controlling the functioning of the system 100; at least a water storage tank 102 with at least one of a water level sensor, at least a heating element 1021, at least a temperature sensor 1022 or any combination thereof; at least an auxiliary water storage tank 103 with at least one of a water level sensor, at least a temperature sensor 1032; at least a water mixer unit 105 having at least a temperature sensor 1051; a user interface unit 1012 for controlling and monitoring different parameters including temperature, water level, opening and closing of valves 108 and 109; and a power supply with power backup unit 104 for providing basic power for proper functioning of the system 100.

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.

Abstract: Certain aspects of the present disclosure provide techniques for providing an augmented reality user interface, including: receiving, by an image sensor of an electronic device, an image of a physical document; determining a document type associated with the physical document by performing image recognition on the image of the physical document; determining an augmented reality template to display on a display of the electronic device; displaying the augmented reality template on the display of the electronic device, wherein the augmented reality template is aligned in three dimensions with the physical document; determining a distance between the physical document and the electronic device; and enabling one or more interactive user interface elements within the augmented reality template displayed on the display of the electronic device if the determined distance between the physical document and the electronic device is less than a threshold distance.