Abstract: The described technology is generally directed towards maintaining a heat score per file based on a file's access/activity level, and using the heat score to re-tier files from faster to slower storage and vice-versa. Files on a slower tier that have more activity are thereby moved (“up-tiered”) to a faster access storage tier, while the files that have less activity on the faster access storage tier are moved (“down-tiered”) to a slower access storage tier. The heat score for a file is increased based on more input-output operation activity, and decayed over time. The decaying can be based on a relative importance value (e.g., business value) assigned to the file or a domain that includes the file. Ordering the files based on their respective heat scores allows only a fraction of the files to be considered for re-tiering before the re-tiering moves are performed.

Abstract: The present invention relates to a simple and convenient process for preparing solid lipid sustained release nanoparticles for berbamine delivery. The process involves preparation of nanoparticles by maintaining the pH of the aqueous or lipid phase so that high drug loading of 12-50% w/w with respect to the lipid matrix and high entrapment efficiency of more than 90% for berbamine in the solid lipid nanoparticles is achieved. The nanoformulation obtained by the process of the present invention has increased efficacy and exhibited any therapeutic property identical to free berbamine such as antiviral-cum-antibacterial agent for the treatment of microbial infections especially resistant Acinetobacter infections in treating diabetes and more specifically diabetes associated complications. Use may be extended to other diseases like COVID 19.

Abstract: The present invention relates to a process for extraction and freeze-drying of a Berberis extract. More particularly, the invention provides an optimized process for freeze-drying/lyophilization to increase the solubility of the extract into the surfactants for enhanced incorporation into a nano-carrier system. Furthermore, the present invention also relates to a lipid nano-formulation of freeze-dried Berberis extract and process for preparing the same by high-pressure homogenization. The invention also relates to the lipid nano-formulation of freeze-dried Berberis extract for efficient drug delivery, for dermatological and cosmeceutical purposes, for treating diabetes and diabetes associated complications, as a wound healer, as an antimicrobial, as an anti-infective, as an anti-inflammatory agent and as an antioxidant.

Abstract: An autonomous automated intent mining system extracts intents from stored conversations in a text-based chat corpus for use in an AI-driven dialog system. The intent mining system includes an intelligent pre-processor for extracting the conversation data from a computer memory and operating on the conversation data to identify relevant utterances. The system additionally includes a representation processor for operating on the identified relevant utterances to create a numerical representation. The system also includes a clustering processor for generating clusters of utterances and classifying each of the identified relevant utterances into a cluster based on the numerical representation of each utterance. Each generated cluster represents a unique intent for use in the AI-driven dialog system.

Abstract: Provided herein is a process for preparing solid lipid nanoparticles of curcumin. Also provided herein are solid lipid nanoparticles of curcumin having a particle size in the range of 20-800 nm. The solid lipid nanoparticles of curcumin show a very high entrapment efficiency of curcumin in the range of 50-100% in terms of actual curcumin content of the formulation. The solid lipid nanoparticles of curcumin show increased efficacy of the curcumin.

Abstract: A historical task database relating vehicle rollout decisions, vehicle maintenance states and subsequent deteriorations is created. A pattern analyzer may use an item-set mining algorithm on the task database to recommend whether a vehicle with its current maintenance state should be deployed. A supervisor uses this recommendation to make a rollout decision. These decisions are added to the database. Heuristic rules are defined to determine if the rollout decision was correct. The system to learns when a supervisor continues to make costly rollout errors. The system also discovers combinations of defects that lead to a rapid deterioration and makes recommendations that the vehicle be sent for maintenance rather than being rolled out.

Abstract: System and methods for personalizing an application include an application server for hosting an application that is executed on a wireless device, the server being configured to monitor usage of a user interface including an interaction between a user of the application and one or more user interface elements and present an updated user interface comprising one or more additional user-interface elements based on the usage.

Abstract: An autonomous automated intent mining system extracts intents from stored conversations in a text-based chat corpus for use in an AI-driven dialog system. The intent mining system includes an intelligent pre-processor for extracting the conversation data from a computer memory and operating on the conversation data to identify relevant utterances. The system additionally includes a representation processor for operating on the identified relevant utterances to create a numerical representation. The system also includes a clustering processor for generating clusters of utterances and classifying each of the identified relevant utterances into a cluster based on the numerical representation of each utterance. Each generated cluster represents a unique intent for use in the AI-driven dialog system.

Abstract: Methods and systems for personalized trust recommendation based on a dynamic trust model. In an example embodiment, a trust framework can be derived from a set of use-case specific factors. Invasive data and non-invasive data can be collected from a user (or a group of users) based on activity data and profile data associated with the user. A dynamic trust profile can be created (or learned) based on the invasive data and the non-invasive data collected from the user. A recommended level of trustworthiness can be then provided to the user respect to a particular situation and/or entity (e.g. other users) within the trust framework based on the dynamic trust profile of the user and which is personalized for the user.

Abstract: A historical task database relating vehicle rollout decisions, vehicle maintenance states and subsequent deteriorations is created. A pattern analyzer may use an item-set mining algorithm on the task database to recommend whether a vehicle with its current maintenance state should be deployed. A supervisor uses this recommendation to make a rollout decision. These decisions are added to the database. Heuristic rules are defined to determine if the rollout decision was correct. The system to learns when a supervisor continues to make costly rollout errors. The system also discovers combinations of defects that lead to a rapid deterioration and makes recommendations that the vehicle be sent for maintenance rather than being rolled out.

Abstract: Methods and systems for personalized trust recommendation based on a dynamic trust model. In an example embodiment, a trust framework can be derived from a set of use-case specific factors. Invasive data and non-invasive data can be collected from a user (or a group of users) based on activity data and profile data associated with the user. A dynamic trust profile can be created (or learned) based on the invasive data and the non-invasive data collected from the user. A recommended level of trustworthiness can be then provided to the user respect to a particular situation and/or entity (e.g. other users) within the trust framework based on the dynamic trust profile of the user and which is personalized for the user.

Abstract: System and methods for personalizing an application include an application server for hosting an application that is executed on a wireless device, the server being configured to monitor usage of a user interface including an interaction between a user of the application and one or more user interface elements and present an updated user interface comprising one or more additional user-interface elements based on the usage.