Under the Usajili Mashinani mobile ID initiative, authorities aim to register 100,000 individuals in each marginalised county, beginning with West Pokot and Baringo. The exercise will then be rolled ...

HELSINKI, Dec. 23, 2025 (GLOBE NEWSWIRE) -- Bitcoin Munari today confirmed that its BTCM token will enter public trading on December 28, following the conclusion of its fixed-price public presale. The ...

Bitcoin Munari approaches its December 28 market debut while broader crypto sentiment improves following renewed macro-driven volatility. HELSINKI, Dec. 23, 2025 (GLOBE NEWSWIRE) -- Bitcoin Munari is ...

Methods: This study was designed as a prospective, multicenter, observational pilot validation study conducted at 3 tertiary centers. A total of 46 patients with BPH who had not received any previous ...

Before 2012, fewer than 100,000 Americans per year underwent surgery to replace a failing heart valve. Today, more than 250,000 patients benefit from heart valve replacement therapies annually. This ...

Citing rival MongoDB Inc.’s recent decision to phase out support for its mobile database, Couchbase Inc. today is doubling down with updates to its Couchbase Mobile platform aimed at supporting edge ...

This project implements a Doctors Appointment Website that allows patients to book appointments, submit enquiries, and contact the clinic. The website includes form validation, JavaScript enhancements ...

Objective: To develop and validate a comprehensive mobile health App (mHealth App) to increase the health literacy and care engagement of patients undergoing bariatric surgery. Methods: App ...

WAUSAU – Lottery winners will be able to more conveniently collect their winnings in Wisconsin. Wisconsin Lottery will premiere its new Wisconsin Lottery Winner Wagon from 10 a.m. to 2 p.m. Aug. 27 in ...

Abstract: Achieving repetitive motion planning (RMP) is essential in the study of mobile robot manipulators. This article presents an acceleration-level RMP (ALRMP) scheme for omnidirectional mobile ...

Abstract: Federated Learning (FL) enables resource-constrained nodes in edge intelligence to train a global model using local data under the coordination of a server without the risk of privacy ...