Adobe, Inc.

Western Digital Technologies, Inc.

Dabur Pharma Limited

Vivek Kumar

Ankur Jain

Mohit Garg

Pawan Goyal

Rama Mukherjee

Anand C Burman

Manu Jaggi

Raghavendra Gopalakrishnan

Anu T Singh

Praveen Rajendran

Anand Vardhan

Manoj Kumar Singh

Mohammad Jamshed Ahmed Siddiqui

Shiv Kumar Agarwal

Sanjay Kumar Srivastava

Hemant Kumar Jajoo

Nidhi Rani

Aspects of the disclosure are directed to a storage device including a memory and a controller. The memory may include a plurality of flash memory blocks such as single level cell (SLC) blocks and multi-level cell (MLC) blocks. The controller may maintain a read count of each of the SLC blocks to determine which of the blocks contains data associated with the highest number of read commands. Based on the read commands, the controller may relocate the associated data into pages of MLC blocks that have a lower number of senses required to read the data stored in those blocks.

Encoding-aware data routing

Techniques are disclosed for automatically detecting anomalies in the content of a scheduled social media post, alerting a user to the presence of such anomalies before the content is posted and recommending a course of action when an anomaly is detected. A set of keywords is extracted from a scheduled post using an ontological classification technique. At predetermined time intervals, the keywords are compared with information obtained from one or more data sources to determine if an anomaly is present. If an anomaly is detected, the scheduled post is classified into one of at least three categories: supporting the post, neutral, or opposing the post. Once the anomaly is detected and the scheduled post is classified, the author of the post is alerted to the anomaly along with the categorization. Subsequently, the author may reschedule the post to an earlier or later time, delete the post, or change the post.

Automatic anomaly alerts for scheduled posts

This document describes techniques for associating social data with user profiles. In one or more implementations, a social post is targeted to a population of users on a social network. The social post includes a link to a resource, such as a website. The resource is then monitored for user access via the link. When a user accesses the resource, social data corresponding to the social post is associated with a user profile of the user. The social data can include targeting parameters of the social post, such as an age, sex, or location of users to which the social post is targeted. The social data may also include other parameters related to the content of the social post, such as one or more topics of the social post.

Associating social data with user profiles

The invention relates to novel betulinic acid derivatives of formula (I), wherein R is C(&#x2550;CH)CHor CH(CH); Rtogether with the adjacent carbonyl group forms a carboxylic acid, carboxylic acid ester or amide or substituted amide; Ror Rare hydrogen or aryl with the proviso that both are not independently hydrogen or alkyl or Rand Rare combined together to form an aryl ring optionally substituted with a group X, wherein X is selected from halogen, alkyl, cyano, nitro, alkoxy, amino or substituted amine; Y is N or O; and Ris zero when Y is O, and Ris hydrogen, alkyl or aryl alkyl when Y is N, useful for inhibition of tumor cancer cells. 

Betulinic acid derivatives

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Uttar Pradesh, India

Vivek Kumar