Intelligent algorithmic framework for detection and mitigation of BeiDou spoofing attacks in vehicular ad hoc networks (VANETs).

This research tackles the critical challenge of BeiDou signal spoofing in vehicular ad-hoc networks and addresses significant risks to vehicular safety and traffic management stemming from increased reliance on accurate satellite navigation. The study proposes a novel hybrid machine learning framework that integrates Autoencoders and long short-term memory (LSTM) networks with an advanced cryptographic method, attribute-based encryption, to enhance the detection and mitigation of spoofing attacks. Our methodology leverages both real-time and synthetic navigational data in a comprehensive experimental setup that simulates various spoofing scenarios to test the resilience of the proposed system.

Community-led interventions to re-engage people living with HIV into care in Pakistan.

Background: By 2021, Pakistan had an estimated 210 000 people living with HIV (PLHIV), and 27% of those initiated into treatment in 2020 had disengaged from care within one year.

Aim: We assessed the effectiveness of an intervention to re-engage PLHIV lost to follow-up into care in Pakistan.

Methods: Between September 2020 and May 2021, the Association of People Living with HIV (APLHIV) implemented a search and rescue intervention for PLHIV lost to follow-up in 2 large treatment centres in Pakistan.

Assessment of Brain Function After 240 Days Confinement Using Functional Near Infrared Spectroscopy.

Future space exploration missions will expose astronauts to various stressors, making the early detection of mental stress crucial for prolonged missions. Our study proposes using functional near infrared spectroscopy (fNIRS) combined with multiple machine learning models to assess the level of mental stress. The objective is to identify and quantify stress levels during 240 days confinement scenario.

Emerging Technological Advancement for Chronic Wound Treatment and Their Role in Accelerating Wound Healing.

Chronic wounds are a major healthcare burden and may severely affect the social, mental, and economic status of the patients. Any impairment in wound healing stages due to underlying factors leads to a prolonged healing time and subsequently to chronic wounds. Traditional approaches for the treatment of chronic wounds include dressing free local therapy, dressing therapy, and tissue engineering based scaffold therapies.