Abstract: A multi-channel digital isolator includes a digital isolator and an interlock circuit. The isolator includes a transmitter having a transmitter output, a receiver having a receiver input and a receiver output, an isolation barrier coupled between the transmitter output and the receiver input, and an output buffer having a buffer input and configured to output an isolated signal. The transmitter is configured to transmit an input signal across the isolation barrier. The interlock circuit has an interlock input coupled to the receiver output and an interlock output coupled to the buffer input. The interlock module is configured to prevent overlapping active states between the first isolated signal and a complementary isolated signal. In some implementations, the digital isolator also includes a dead-time insertion circuit.

Abstract: Disclosed is a system and associated methods to optimize search in order to present emerging concepts that relate to a query for an established concept. The system extracts phrases from different content, generates a first cluster with a first set of phrases that contain a first common set of words and a second cluster with a second set of phrases that contain a second common set of words. The system clusters the first cluster and the second cluster to a cluster group based on a related word amongst the first and second set of phrases. The system receives a query for a particular word in the first common set of words, selects the cluster group based on the phrases in the first cluster of the cluster group having the particular word, and presents search results based on content that includes phrases in the second cluster of the cluster group.

Abstract: Disclosed is a system and associated methods to optimize search in order to present emerging concepts that relate to a query for an established concept. The system extracts phrases from different content, generates a first cluster with a first set of phrases that contain a first common set of words and a second cluster with a second set of phrases that contain a second common set of words. The system clusters the first cluster and the second cluster to a cluster group based on a related word amongst the first and second set of phrases. The system receives a query for a particular word in the first common set of words, selects the cluster group based on the phrases in the first cluster of the cluster group having the particular word, and presents search results based on content that includes phrases in the second cluster of the cluster group.

Abstract: A quality assessment system models product or service quality based on contextual relevance. A neural network generates a contextual relevance model that differentiates descriptive characteristics based on a modeled relevance of each descriptive characteristic to the product or service. The system filters reviews based on the contextual relevance model to retain filtered reviews that reference any of the first set of descriptive characteristics. The system generates theme clusters with an encoder. Each theme cluster groups a different subset of the filtered reviews based on an amount of semantic similarity between the different subset of reviews and the theme cluster. The system presents an interface with a first visualization and a second visualization. The first visualization graphically represents a sentiment expressed in reviews grouped to the first theme cluster, and the second visualization graphically represents a sentiment expressed in reviews groups to the second theme cluster.

Abstract: The system comprises a collection unit for procuring doxorubicin, diethyl ether, alkaline water and a plurality of subject animals; a pre-processor unit for acclimatizing collected plurality of subject animals for 7 days standard laboratory condition; a classification processor unit for dividing subject animals into four groups; a treating unit for feeding subject animals with standard semi purified diet along with normal drinking water and standard semi purified diet along with Zam water p.o at libitum, or injecting with Dox i.p. on first day of protocol fed with standard semi purified diet along with normal drinking water or Dox i.p. on first day of protocol thereby treating with Zam water p.o at libitum for 28 days; a monitoring processor unit for monitoring physiological and behavioral changes of plurality of subject animals; and an analysis processor unit for estimating a set of biochemical parameters and stool sample of the plurality of subject animals.

Abstract: Resources of an electronic device are partitioned into a plurality of resource portions to be utilized by a plurality of clients. Each resource portion is assigned to a respective client, has a respective partition identifier (ID), and corresponds to a plurality of memory bandwidth usage states tracked for a plurality of memory blocks. For each resource portion, each of the memory bandwidth usage states is associated with a respective memory block and indicates at least how much of a memory access bandwidth assigned to the respective partition ID to access the respective memory block is used. A usage level is determined for each resource partition based on the memory bandwidth usage states, and applied to adjust a credit count. When the credit count is adjusted beyond a request issue threshold, a next data access request is issued from a memory access request queue for the respective partition ID.

Abstract: Resources of an electronic device are partitioned into a plurality of resource portions to be utilized by a plurality of clients. Each resource portion is assigned to a respective client, has a respective partition identifier (ID), and corresponds to a plurality of memory bandwidth usage states tracked for a plurality of memory blocks. For each resource portion, each of the memory bandwidth usage states is associated with a respective memory block and indicates at least how much of a memory access bandwidth assigned to the respective partition ID to access the respective memory block is used. A usage level is determined for each resource partition based on the memory bandwidth usage states, and applied to adjust a credit count. When the credit count is adjusted beyond a request issue threshold, a next data access request is issued from a memory access request queue for the respective partition ID.

Abstract: An apparatus includes a processor and a non-transitory memory. The processor is configured to receive pre-operative patient specific data. The pre-operative patient specific data is inputted to a first machine learning model to determine a first predicted post-operative joint performance data output including first predicted post-operative outcome metrics. A reconstruction plan of the joint of the patient is generated based on a medical image of the joint, and at least one arthroplasty surgical parameter obtained from the user. The at least one arthroplasty surgical parameter is inputted into a second machine learning model to determine a second predicted post-operative joint performance data output including second predicted post-operative outcome metrics.

Abstract: In one example embodiment, a computer-implemented method and system for issuing alerts are disclosed. The method includes receiving device information for one or more mobile devices; sorting the received device information based on pre-determined criteria; evaluating the sorted device information to determine if the device information satisfies a specified condition; and issuing alert based on the determination. The system for issuing alerts includes a storage database, wherein the storage database receives device information for one or more mobile devices; an analytics engine, wherein the analytics engine sorts the received device information based on pre-determined criteria; a rules engine, wherein the rules engine evaluates the sorted device information to determine if the device information satisfies a specified condition and issues alerts based on the determination.

Abstract: Resources of an electronic device are partitioned into a plurality of resource portions to be utilized by a plurality of clients. Each resource portion is assigned to a respective client, has a respective partition identifier (ID), and corresponds to a plurality memory bandwidth usage states tracked for a plurality of memory blocks. For each resource portion, each of the memory bandwidth usage states is associated with a respective memory block and indicates at least how much of a memory access bandwidth assigned to the respective partition ID to access the respective memory block is used. A usage level is determined for each resource partition based on the memory bandwidth usage states, and applied to adjust a credit count. When the credit count is adjusted beyond a request issue threshold, a next data access request is issued from a memory access request queue for the respective partition ID.

Abstract: Digital image ordering based on object position and aesthetics is leveraged in a digital medium environment. According to various implementations, an image analysis system is implemented to identify visual objects in digital images and determine aesthetics attributes of the digital images. The digital images can then be arranged in way that prioritizes digital images that include relevant visual objects and that exhibit optimum visual aesthetics.

Abstract: Digital image ordering based on object position and aesthetics is leveraged in a digital medium environment. According to various implementations, an image analysis system is implemented to identify visual objects in digital images and determine aesthetics attributes of the digital images. The digital images can then be arranged in way that prioritizes digital images that include relevant visual objects and that exhibit optimum visual aesthetics.

Abstract: A method, computer system, and a computer program product for semi-automated exam grading are provided. An exam that includes a question is received. A model answer to the question is received. The model answer includes an essay form. A computer system identifies constructs in the model answer. An examinee answer sheet that includes an examinee answer to the question is received. The computer system grades the examinee answer of the examinee answer sheet based on the constructs of the model answer. The computer system presents the graded examinee answer sheet to an evaluator for review. The graded examinee answer sheet includes one or more distinction markers along with the examinee answer. The one or more distinction markers indicate respective priority levels of corresponding portions of the examinee answer.

Abstract: A computer-implemented method that secures cloud services from imposters automatically activating an imposter security service (ISS) responsive to receiving an imposter identifier (IID) of an imposter from an identity access and management system (IAMS). The ISS comprises a manipulation mapping table (MMT) that stores configurable factors to assist in control of execution of a cloud service security element (CSSE) in a respective cloud service of the cloud services. The ISS also comprises a decision engine (DE) that interacts with the MMT. The method exchanges imposter security information between the ISS and the CSSE and between the MMT and the DE, and directs the imposter security information to be sent to security information and event management (SIEM).

Abstract: An apparatus includes a processor and a non-transitory memory. The processor is configured to receive pre-operative patient specific data. The pre-operative patient specific data is inputted to a first machine learning model to determine a first predicted post-operative joint performance data output including first predicted post-operative outcome metrics. A reconstruction plan of the joint of the patient is generated based on a medical image of the joint, and at least one arthroplasty surgical parameter obtained from the user. The at least one arthroplasty surgical parameter is inputted into a second machine learning model to determine a second predicted post-operative joint performance data output including second predicted post-operative outcome metrics.

Abstract: Methods, systems, and computer-readable media for GPU code injection to summarize machine learning training data are disclosed. Training of a machine learning model is initiated using a graphics processing unit (GPU) associated with a machine learning training cluster. The training of the machine learning model generates tensor data in a memory of the GPU. The GPU determines a summary of the tensor data according to a reduction operator. The summary is smaller in size than the tensor data and is output by the GPU. A machine learning analysis system performs an analysis of the training of the machine learning model based at least in part on the summary of the tensor data. The machine learning analysis system detects one or more conditions associated with the training of the machine learning model based at least in part on the analysis.

Abstract: A method for detecting scratches and bumps applied to a vehicle uses an acceleration sensor. Signals of the sensor are analyzed and evaluated based on amplitude and frequency. Relationships between the amplitudes and frequencies provide a basis to classify a vehicle contact event as a bump or a scratch.

Abstract: A method (100) for detecting mycotoxins in organic material, wherein the method (100) comprises of: storing about 2-5 grams of organic material in a temperature less than room temperature; adding a solvent Acetonitrile in the stored organic material to form a first mixture, wherein the first mixture is transferred to a 40-60 ml tubes, centrifuged and shaken for a defined interval; adding 0.5-3 ml of supernatant, 80-120 mg of cyclo-18-carbon (C18) and 200-400 mg of Magnesium sulfate to the first mixture to form a second mixture; and filtering the formed second mixture using a filter syringe to obtain a filtrate, wherein the mycotoxins are detected from the obtained filtrate using Ultra High-Performance Liquid Chromatography (UHPLC) coupled with a mass spectrometer.

Abstract: The present invention discloses a fused heterocyclic compound of formula (I), wherein, R1, Y, Q, A, G, m and E are as defined in the detailed description. The present invention further discloses methods for their preparation and use of the compounds of formula (I) as a pest control agent.

Abstract: A method of training a system to extract information from documents comprises feeding digital form of training documents to an OCR module, which identifies multiple logical blocks in the documents and text present in the logical blocks. One or more tags for the whole of the document, the logical blocks and word tokens on the document are received by a tagging module. A text input comprising the text identified in the document and the tags for the whole of the document are received by a machine learning module. A first image of the document with layout of the one or more of the identified blocks superimposed, and the tags of the logical blocks in the document are received by the machine learning module, wherein the received text input, first image and tags for the logical blocks corresponds to a plurality of the training documents.