Automatically Highlighting Browser Tabs Related to Current Tab

Users that have a large number of open browser tabs can struggle to identify tabs that are relevant to their current task. While tab search functionality is available in some browsers, such functionality does not automatically identify relevant tabs. This disclosure describes a web browser that, with user permission, determines the user’s current context based on the currently active browser tab and automatically highlights other relevant tabs that are currently open. The content and metadata of browser tabs are analyzed, e.g., using on-device machine learning techniques, to identify the relevant tabs. The relevant tabs can be highlighted with different colors and/or color gradation to indicate relative match to the current tab. The techniques are applicable for any application tabbed or stacked user interface

Empagliflozin: an exciting prospect in the treatment of diabetes

Type 2 diabetes mellitus (T2DM) continues to be a chronic and disabling disease that is associated with high mortality and morbidity. The epidemic burden of diabetes mellitus has increased in developing countries and Asia is considered as the “diabetic epicentre”. Type 2 diabetes (T2DM), is characterised by reduced secretion of insulin from pancreatic beta cells independently or associated with reduced response of peripheral tissues to circulating insulin. A proper glycaemic control is essential to delay the micro and macrovascular complications of T2DM. Standard anti-diabetic agents including insulin happen to induce minor to major adverse outcomes in certain populations over prolonged period of administration. Hence there has been a compelling need to develop newer and novel approach to treatment of T2DM. Sodium-glucose co-transporter 2 (SGLT-2) inhibitors are a novel category of drugs that happen to reduce glycaemic overload by inducing glycosuria. The safety, efficacy and tolerability profile of these drugs were studied separately under various trials and was approved for use in August 2014 by US-FDA. This review is an attempt to describe the history of SGLT-2 inhibitors, their mechanism of action, safety and efficacy as well as its current status among anti-diabetic agents. 

Digital Map with Integrated Toll Notifications and Account Recharge

Electronic toll booths that automatically debit toll charges from a prepaid account associated with a hardware tag are popular. However, having insufficient balance in the prepaid account can cause the user’s journey to be interrupted, as the user needs to recharge the account before crossing a toll booth. This disclosure describes techniques that enable the management of electronic toll accounts from within a digital map or navigation application and provide an easy process for payment. The techniques include real-time balance checks and predictive functionality based on the user’s location and route and can help ensure that users have sufficient funds to cover upcoming toll charges

A CORRECT PROTOCOLS REPLACE FOR MATCHING NETWORK FILE SYSTEMS

While using the growing use of very network-attached storage systems, several works has focussed on scalable security. Our purpose should be to design ingenious in addition to secure techniques of authenticated key exchange which will get together particular requirements of parallel Network File System.  Our work concentrates on present Internet standards particularly parallel Network File System using Kerberos to start parallel session keys among clients and storage products. We create a study of impracticality of key establishment for efficient many-to-many communications. The suggested techniques can decrease workload of metadata server by way of about 50 % when compared with provide Kerberos-based protocol, whereas achieving needed security characteristics in addition to keeping computational overhead at clients and storage products at practically low-level

Virtual QR Codes via Augmented Reality for Initiating Mobile Payments

To enable customers to initiate payment via a digital payment application requires businesses to display payment codes, e.g., quick response (QR) codes, prominently so that customers can scan the code to obtain merchant information. When printed QR codes are not available or are unreadable, initiating payment can require costly interaction between customer and merchant. This disclosure describes the use of augmented reality techniques to display virtual payment QR codes at any business location. The virtual QR code can be automatically generated based on a business registering with a payment platform. The virtual QR code is associated with the merchant and encodes payment information as well as other information for the business. To initiate payment, a customer can start their digital payment app and receive guidance towards the physical location of the virtual QR code. Upon scanning the virtual QR code, the customer can view information about the business and initiate payment

Location-based Automatic Payment Prompts for Merchant Payments

Initiating digital payment to a merchant via a payment app requires users to scan a code identifying the merchant’s payment identifier. Scanning QR codes requires explicit user action, and can be time-consuming, cumbersome, and error-prone, especially in busy stores. The absence of prominently displayed QR codes at some merchant establishments further complicates the process. This disclosure describes techniques that improve the process of initiating digital payments to a merchant. With user permission, location-based triggers are used to determine likely payment intent and automatically provide a suitable prompt to the user, thus eliminating the need for manual scan of QR codes. The merchant payment address can also be automatically identified, and multi-merchant payment prompts provided when appropriate

Context-Aware Dynamic Content Modification for Enhanced Privacy

In many contexts, a user needs to display on-screen content on their personal devices to others. In such situations, there is a concern regarding the potential exposure of personal information when others view the device screen. This disclosure describes techniques to automatically modify displayed content on a user device based on the context to provide a privacy-secure user experience that is seamless and enables users to display their device screens to third-parties. With user permission, data from various device sensors are analyzed, e.g., using on-device machine learning models, to automatically detect situations in which a device screen may be viewable by a third-party. Alternatively, a user can activate privacy mode by simply turning the phone around so that it faces away from the user which can be detected based on data from device sensors, or by invoking a privacy-safe mode via the device user interface. Once it is determined that privacy-safe mode is to be invoked, on-device machine learning models are utilized with user permission to analyze the displayed content to detect and mask personal information. During the time the device screen is being viewed by a third-party, other device functionality is disabled to ensure user privacy

Observation of direct and indirect magnetoelectricity in lead free ferroelectric (Na 0.5Bi 0.5TiO 3)-magnetostrictive (CoFe 2O 4) particulate composite

A particulate composite consisting of 65 mol. % Na 0.5Bi 0.5TiO 3 and 35 mol. % CoFe 2O 4 was synthesized, and it's structure, microstructure, ferroelectric, magnetostrictive, magnetic, and direct/indirect magnetoelectric properties were studied. The composite showed different magnetization behaviour under electrically poled and un-poled conditions. The percentage change in magnetization as a result of poling is approximately -15% at 500 Oe magnetic field. Magnetostriction measurements displayed a value of λ 11 = -57 × 10 -6 and piezomagnetic coefficient δλ 11/δH = 0.022 × 10 -6 kOe -1 at 2.2 kOe for the composite. The maximum magnetoelectric output varied from 1350 mV/cm to 2000 mV/cm with change in the electrical poling condition