Abstract: A method for user credential authentication includes receiving real-time logs from a blockchain network that is configured to perform an authentication process of a user. The real-time logs are normalized and bucketized to generate processed real-time logs, which are stored in a block and are added to a blockchain. The processed real-time logs are analyzed to identify the plurality of real-time behavioral patterns of the user. A first authentication score is determined by comparing a first real-time behavioral pattern to a respective first historical behavioral pattern. The first authentication score is compared to a first authentication score threshold, which corresponds to the first real-time behavioral pattern and the respective first historical behavioral pattern. In response to the first authentication score being less than the first authentication score threshold, a first instruction is sent to the blockchain network to temporarily stop the authentication process of the user.

Abstract: Embodiments herein provide a system and method for using an Integrated Starter Generator (ISG) for electric torque assistance on specific strokes of a 2-stroke or 4-stroke Internal Combustion (IC) engine (300) with reduced inertial mass than a conventional inertial mass loaded IC engine in order to overcome a speed variation problem caused by the engine's lower inertia at low and idle speeds and thus meeting a crankshaft speed shortfall. Furthermore, enabling the 2-stroke and 4-stroke engines to run on a lean fuel-air mixture improves emissions at low and idling speeds, and leads to better IC engine emission control.

Abstract: A formulation of naltrexone that ameliorates undesirable localized reactions at the site of implantation.

Abstract: A catalyst body for an exhaust gas aftertreatment system includes a first portion having a selective catalytic reduction S(SCR) catalyst member that receives exhaust gas. The SCR catalyst member includes a first end and a second end opposite the first end. The exhaust gas is configured to flow through the SCR catalyst member in a direction from the first end to the second end. The catalyst body further includes a second portion having an oxidation catalyst member. The oxidation catalyst member includes a coating thereon at a location proximate the second end of the SCR catalyst member. The oxidation catalyst member is fluidly coupled to the SCR catalyst member and receives the exhaust gas from the SCR catalyst member via the second end of the SCR catalyst member.

Abstract: A system comprises a memory communicatively coupled to at least one processor. The at least one processor is configured to receive access feedback from an entity requesting to access one or more network resources in a communication network. Further, the processor is configured to execute a machine learning algorithm to monitor the access feedback in the communication network for a period of time, determine one or more tracked activities and metadata from the access feedback, generate one or more predicted activities based on the metadata, generate an adverse impact assessment granting preliminary access between the entity and the one or more network resources in response to determining that the tracked activities match the predicted activities within a predefined adverse impact threshold, and create a quantum access command for the entity. The processor is configured to provide the quantum access command to the entity.

Abstract: The present disclosure generally relates to systems and methods for fuel cell regeneration after degradation.

Abstract: Provided is a handheld device and a method for detecting weld defects on a weld surface. The handheld device projects a thin beam laser light on the weld surface using a laser emitter. A processor receives the projected thin beam laser light from a laser receiving sensor, which indicates captured contours of the weld surface. The captured contours are processed to filter laser lines and extract contours. The extracted contours are utilized to classify a type of weld surface such as, surface joints, butt joints, corner joints, and tee joints. The processor, upon classifying, automatically adjusts angle and position of the laser light to be projected on the weld surface and detects deviation patterns by employing an ensemble of a laser line extraction process and a pixel width measurement process. The processor determines the detected deviation patterns as one or more defects on the weld surface that is being inspected.

Abstract: The present invention relates to the field of digitally accessing, modeling and optimizing scattered ‘big-data’ from various assets having complex and dynamic physical relationships. The present disclosure also relates to a system and method for supporting version-of-the-truth from multiple data sources and for multiple disciplines. It helps organizations that possess various physical assets that are been utilized by multiple user groups and through a period of time to optimize operations, conduct surveillance and manage complex business processes related to their valuable assets and equipment. The invention is built with an open architecture to connect to various corporate databases combining real-time and relational data. The system employs exception-based surveillance, sophisticated queries, and no-code methods to automatically detect deviations in asset performance from optimal conditions, and flag them to the right users, at the right time, and in the right way.

Abstract: A 5-bromo-2-hydroxy-N?-[(1E)-1-(pyridin-2-yl)ethylidene]benzohydrazide compound, its synthesis, and its use as an anticancer and an antimicrobial agent.

Abstract: This disclosure describes methods, non-transitory computer readable storage media, and systems that use intelligent digital content analysis and large language models to resolve transaction disputes. The disclosed system selects appropriate digital content analysis tools for analyzing digital documentation including details of a transaction in response to a transaction dispute. The disclosed system utilizes data extracted from the digital documentation to generate a number and type(s) of model prompts to provide to a large language model based on attributes of the transaction dispute. The disclosed system uses responses generated by the large language model for the model prompts to determine a dispute resolution operation (e.g., approval, denial, or agent review). Furthermore, the disclosed system provides a response to the request to one or more computing devices associated with the request in response to execution of the dispute resolution operation.

Abstract: A method, computer program product, and a system where a processor(s) obtains data related to medical treatment and a current physical state of a given patient. The processor(s) cognitively analyzes the data to identify potential patient behavioral patterns of the given patient. The processor(s) obtains general patient data and correlates the general patient data with a portion of the data to identify elements in the general patient data with a potential impact on the identified potential patient behavioral patterns. The processor(s) determines impacts of the elements on the identified potential behavioral patterns and applies the impacts to generate a data structure comprising baseline behavioral patterns, i.e., a predictive model to utilize in determining probabilities that the given patient will exhibit behaviors comprising the baseline behavioral patterns during a defined future time interval.

Abstract: Systems, computer program products, and methods are described herein for determining causes of network anomalies across a distributed network. The method includes determining one or more known indicator patterns from one or more error logs for one or more applications on a network. The method also includes receiving one or more performance indicators during an execution of an application. The method further includes comparing the one or more performance indicators to one or more known indicator patterns. The method also includes determining at least one of the one or more performance indicators that is malfeasant. The method also includes determining a malfeasant component of the network based on the one or more performance indicators that is malfeasant. The method also includes determining a remediation action to be executed in response to the comparison of the one or more performance indicators to one or more known indicator patterns.

Abstract: Systems, computer program products, and methods are described herein for determining causes of network anomalies across a distributed network. The method includes determining one or more known indicator patterns from one or more error logs for one or more applications on a network. The method also includes receiving one or more performance indicators during an execution of an application. The method further includes comparing the one or more performance indicators to one or more known indicator patterns. The method also includes determining at least one of the one or more performance indicators that is malfeasant. The method also includes determining a malfeasant component of the network based on the one or more performance indicators that is malfeasant. The method also includes determining a remediation action to be executed in response to the comparison of the one or more performance indicators to one or more known indicator patterns.

Abstract: Systems, methods, and computer-readable media for determine a neighborhood graph can include the following processes. A neighborhood graph system generates a neighborhood graph for a plurality of nodes in an enterprise network, the neighborhood graph representing a multi-hop connections between any two nodes of the plurality of nodes. A security score service determines a security score for each of the plurality of nodes to yield a plurality of scores. The neighborhood graph system updates the neighborhood graph of the plurality of nodes using the plurality of scores to provide a visual representation of securities of the plurality of nodes relative to each other.

Abstract: The present invention relates to the field of polymeric matrix for haemostatic application. In particular, the Invention provides an efficient polymeric haemostatic device/bandage with high swelling rate, enhanced mechanical property and high blood clotting ability.

Abstract: Embodiments herein provide a system and method for using an Integrated Starter Generator (ISG) for electric torque assistance on specific strokes of a 2-stroke or 4-stroke Internal Combustion (IC) engine (300) with reduced inertial mass than a conventional inertial mass loaded IC engine in order to overcome a speed variation problem caused by the engine's lower inertia at low and idle speeds and thus meeting a crankshaft speed shortfall. Furthermore, enabling the 2-stroke and 4-stroke engines to run on a lean fuel-air mixture improves emissions at low and idling speeds, and leads to better IC engine emission control.

Abstract: Systems, computer program products, and methods are described herein for securing and emulating computing system configurations.

Abstract: Resources associated with a network are administered using a control plane that issues commands to those resources. A command sent to cause a resource to perform a function may specify a target state for the resource. The command may be modified, or an alternate command may be generated, based on the characteristics of the resource, which may enable a single command to be used to cause multiple resources to perform a function. Based on the characteristics of the resource or of the function, a different target state, and in some cases intermediate states that may occur before the target state, may be determined. Telemetry data for a resource may be used to determine the current state of the resource, which is compared to the valid intermediate and target states. Output indicating the states of the resources as valid or erroneous is generated.

Abstract: Systems, computer program products, and methods are described herein for early detection of operational failure in component-level functions within a computing environment.

Abstract: Systems, computer program products, and methods are described herein for determining causes of network anomalies across a distributed network. The method includes determining one or more known indicator patterns from one or more error logs for one or more applications on a network. The method also includes receiving one or more performance indicators during an execution of an application. The method further includes comparing the one or more performance indicators to one or more known indicator patterns. The method also includes determining at least one of the one or more performance indicators that is malfeasant. The method also includes determining a malfeasant component of the network based on the one or more performance indicators that is malfeasant. The method also includes determining a remediation action to be executed in response to the comparison of the one or more performance indicators to one or more known indicator patterns.