Abstract: Aspects related to a resource-constrained system are described herein that can provide object storage services after a service interruption is resolved, even if all of the transactions that were pending and incomplete prior to the service interruption have not yet been recovered and/or executed. For example, file systems implemented by computing systems of the resource-constrained system may treat each file or directory as a separate object. Thus, a transaction directed to one file may not affect the file's directory or other files in the directory. As a result, the resource-constrained system can achieve read-after-write consistency without first recovering and executing the pending, incomplete transactions. Instead, read-after-write consistency for an object can be achieved simply by completing any pending, incomplete transaction directed to that object.

Abstract: A system, method, and computer-readable medium are disclosed for performing a data center monitoring and management operation. The data center monitoring and management operation includes: monitoring an interaction of a user with a data center monitoring and management console when configuring an aspect of data center infrastructure, the configuring the aspect of data center infrastructure being performed during an infrastructure configuration experience; executing the aspect of data center infrastructure; and, generating an application program interface associated with the aspect of data center infrastructure, the application program interface being generated during the infrastructure configuration experience.

Abstract: Compositions and methods for inducing immune tolerance to proteins and subsequence administration of the proteins are disclosed. Compositions comprise proteins complexed with liposomes comprising PS and PC, wherein at least part of the PS is present as lyso-PS.

Abstract: Mechanisms are provided to implement an automated medical image processing pipeline selection (MIPPS) system. The MIPPS system receives medical image data associated with a patient electronic medical record and analyzes the medical image data to extract evidence data comprising characteristics of one or more medical images in the medical image data indicative of a medical image processing pipeline to select for processing the one or more medical images. The evidence data is provided to a machine learning model of the MIPPS system which selects a medical image processing pipeline based on a machine learning based analysis of the evidence data. The selected medical image processing pipeline processes the medical image data to generate a results output.

Abstract: A method of improving mood, improving coping with stress, improving metabolism, and/or improving immune system function including administering of an amount of tributyrin to or by a subject sufficient to release at least a portion of butyrate from the administered amount in the small intestine of the subject to improve a mood, improve a coping with stress, improve a metabolism and/or improve an immune system function of the subject. A method of improving mood, improving coping with stress, improving metabolism, and/or improving immune system function including administering of an amount of tributyrin to or by a subject sufficient to release a first portion of butyrate from the administered amount in the small intestine of the subject and a second portion of butyrate in the colon to improve mood, improve coping with stress, improve a metabolism and/or improve an immune system function of the subject.

Abstract: A power system including a power converter system and an electric machine is provided. In one aspect, the power converter system has first and second switching elements. The electric machine includes a first multiphase winding electrically coupled with the first switching elements and a second multiphase winding electrically coupled with the second switching elements. The first and second multiphase windings are arranged and configured to operate electrically opposite in phase with respect to one another. One or more processors control the first switching elements to generate first pulse width modulated (PWM) signals based on received voltage commands to render a first common mode signal and also control the second switching elements to generate second PWM signals based on received voltage commands to render a second common mode signal. The rendered first and second common mode signals have the same or similar waveform with opposite polarity with respect to one another.

Abstract: A mechanism is provided for implement a discrepancy detection mechanism for detecting discrepancies between clinical notes and administrative records. Clinical concepts are extracted from the clinical notes and the administrative records in a patient's electronic medical records (EMRs). The extracted clinical concepts are filtered based on semantic type information to identify concepts that reference diseases or syndromes while also removing negated instances. Utilizing the positive mentions of diseases in clinical notes, the positive mentions of diseases or syndromes in the clinical notes are compared against each positive entry in the administrative records. A discrepancy summary is then generated for diseases or syndromes that failed to translate correctly from clinical notes to the administrative records in the patient's EMRs.

Abstract: A glitch detector includes a metastability detector circuit, a reference storage circuit, and a pattern comparison circuit. The metastability detector circuit is configured to generate state signals at each cycle of the clock signal. The reference storage circuit is configured to store a logic state of each state signal based on a delayed version of the clock signal, and generate reference signals. A logic state of each reference signal is equal to a logic state of a corresponding state signal generated during a previous cycle of the clock signal. The pattern comparison circuit is configured to receive the state signals generated during a current cycle of the clock signal, the reference signals, and first and second values, and generate clock and voltage glitch signals based on first and second patterns that are associated with the state signals generated during the current cycle and the reference signals, respectively.

Abstract: Disclosed is a method for treating actinic keratosis of tissue of a patient, the method including contacting non-thermal, atmospheric pressure plasma over areas of the tissue having actinic keratosis for a time and at treatment conditions effective to give rise to an at least partial amelioration of the keratosis.

Abstract: A mechanism is provided for implement a discrepancy detection mechanism for detecting discrepancies between clinical notes and administrative records. Clinical concepts are extracted from the clinical notes and the administrative records in a patient's electronic medical records (EMRs). The extracted clinical concepts are filtered based on semantic type information to identify concepts that reference diseases or syndromes while also removing negated instances. Utilizing the positive mentions of diseases in clinical notes, the positive mentions of diseases or syndromes in the clinical notes are compared against each positive entry in the administrative records. A discrepancy summary is then generated for diseases or syndromes that failed to translate correctly from clinical notes to the administrative records in the patient's EMRs.

Abstract: A text classifying apparatus (100), an optical character recognition unit (1), a text classifying method (S220) and a program are provided for performing the classification of text. A segmentation unit (110) segments an image into a plurality of lines of text (401-412; 451-457; 501-504; 701-705) (S221). A selection unit (120) selects a line of text from the plurality of lines of text (S222-S223). An identification unit (130) identifies a sequence of classes corresponding to the selected line of text (S224). A recording unit (140) records, for the selected line of text, a global class corresponding to a class of the sequence of classes (S225-S226). A classification unit (150) classifies the image according to the global class, based on a confidence level of the global class (S227-S228).

Abstract: The present invention provides an artificial intelligence-based system for management of electric vehicles fleet. The system receives live data and historical data feeds from charging stations, fleet telematics, meteorological services, traffic management, mobile application, fleet dashboard, renewable source of energy, battery energy storage system, and the electric utility grid. The system utilizes machine learning algorithms to predict energy usage and optimize the charging schedule of electric vehicle. The system uses real time data to generate electric vehicle trip condition training feature for predicting the remaining driving range. The system predicts the vehicle's arrival time at the charging station based on telematics data of each vehicle collected from the fleet management system.

Abstract: A method that includes retrieving a first list of routing prefixes learned by a border node in a first network fabric and retrieving a second list comprising addresses of nodes in a second network fabric. The method also includes generating a dependency mapping based on the routing prefixes in the first list and the addresses in the second list. The dependency mapping indicates that network traffic to the addresses of the nodes in the second network fabric is affected by the border node in the first network fabric. The method further includes, in response to detecting that the border node in the first network fabric has malfunctioned and based on the dependency mapping, generating an alert indicating that network traffic to the addresses of the nodes in the second network fabric is affected by the border node in the first network fabric malfunctioning.

Abstract: A glitch detector includes a metastability detector circuit, a reference storage circuit, and a pattern comparison circuit. The metastability detector circuit is configured to generate state signals at each cycle of the clock signal. The reference storage circuit is configured to store a logic state of each state signal based on a delayed version of the clock signal, and generate reference signals. A logic state of each reference signal is equal to a logic state of a corresponding state signal generated during a previous cycle of the clock signal. The pattern comparison circuit is configured to receive the state signals generated during a current cycle of the clock signal, the reference signals, and first and second values, and generate clock and voltage glitch signals based on first and second patterns that are associated with the state signals generated during the current cycle and the reference signals, respectively.

Abstract: Provided herein are methods of activating immune cells. The method includes providing a population of immune cells and contacting the population of immune cells with a first agent and a second agent. The first agent includes an immune cell activator attached to a first binder moiety, and the second agent includes at least one capture oligomer. The at least one capture oligomer is capable of associating with the first binder moiety. Also provided are kits for activating immune cells.

Abstract: The present disclosure is concerned with piperazine-2,5-diones that are capable of inhibiting TGF-? and methods of treating cancers such as, for example, multiple myeloma and a hematologic malignancy, and methods of treating fibrotic conditions using these compounds. This abstract is intended as a scanning tool for purposes of searching in the particular art and is not intended to be limiting of the present invention.

Abstract: Systems and methods are provided herein for analyzing root-causes of network access failures in a wireless network. In response to detecting that a client device experiences a network access failure that prevents communication with a server device, a method, according to one implementation, includes a step of analyzing the network access failure to predict one or more root-causes. Also, the method includes beginning a remediation procedure for remediating the one or more root-causes.

Abstract: Digital imaging and learning systems and methods are described for analyzing pixel data of a scalp region of a user's scalp to generate one or more user-specific scalp classifications. A digital image of a user is received at an imaging application (app) and comprises pixel data of at least a portion of a scalp region of the user's scalp. A scalp based learning model, trained with pixel data of a plurality of training images depicting scalp regions of scalps of respective individuals, analyzes the image to determine at least one image classification of the user's scalp region. The imaging app generates, based on the at least one image classification, a user-specific scalp classification designed to address at least one feature identifiable within the pixel data comprising the at least the portion of a scalp region of the user's scalp.

Abstract: The present disclosure relates to systems, methods, and computer-readable media for selectively analyzing content of electronic communications and enabling a sender to modify content to comply with one or more accessibility preferences. For example, systems disclosed herein may enable a client device to selectively analyze portions of an electronic communication and provide an accessibility alert indicator that one or more accessibility violations exist for a corresponding set of recipients. In addition, systems disclosed herein involve selectively applying a dynamic set of accessibility rules to content of the electronic document based on recipients that are added or removed as well as content of the electronic communication as it is composed.

Abstract: A system and method for generation of a user feedback data is provided. The method encompasses extracting in real time, from social media platform(s), a set of social media posts, wherein each social media post comprises mention(s) related to e-commerce platform(s). The method thereafter encompasses categorizing, each social media post into one of a promotional post and non-promotional post. The method further comprises identifying, a sentiment associated with each social media post. Further, the method encompasses assigning, a customer experience node and/or a business unit with the social media post(s). The method thereafter leads to removing, irrelevant posts from the set of social media posts. The method then generates the user feedback data based on the removal of the at least one irrelevant post and the assigned customer experience node, the assigned business unit and/or the sentiment of each social media post.