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The Communiqué News

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Image: Vogue Philippines April issue, photographed by Artu Nepomuceno, via Vogue.ph


Seniors, let alone centenarians, rarely grace the covers of fashion magazines. Apo Whang-Od, a 106-year-old tattoo artist from Buscalan, a village about twelve hours from Manila, is featured in the April issue of Vogue Philippines.

Ms Whang-Od, the region's first female tattoo artist at the time, began her career at the age of 16 "to imprint the sacred symbols of their ancestors on individuals who have crossed or are about to cross a threshold in their lives," according to Vogue.

Ms Whang-Od, who has tattoos all over her body, says her skin is inscribed with her life story, from achievements to ailments and the names of long-gone lovers.

Vogue’s cover story is a stark reminder that prevailing cultural bias towards youth and beauty, particularly in the entertainment and fashion industries, is veered toward featuring younger models, most of whom are teenage girls. This can create a belief that older women are less relevant or marketable, and therefore less likely to be featured on the cover of a fashion magazine.

There have been some positive changes in recent years, with some fashion magazines and brands featuring older models. Maye Musk, Carmen Dell'Orefice and Isabella Rossellini all had thriving careers in their sixties and beyond, regularly featured in magazines and ad campaigns. This shift towards greater diversity and inclusivity in fashion reflects changing attitudes and a growing recognition that beauty and style are not limited by age.




The Prime Minister, Shri Narendra Modi said that Jammu and Kashmir is beautiful, and even more so during the Tulip season.

In reply to the tweet threads by Srinagar District Administration about blooming of Tulip garden located in the foothills of Zabarwan Range, adjacent to Dal Lake in Srinagar, the Prime Minister tweeted;

“Jammu and Kashmir is beautiful, and even more so during the Tulip season.”


Have you ever heard of biosensor technology? University of Technology Sydney (UTS) researchers have developed biosensor technology that will allow you to operate devices such as robots and machines solely through thought control.


Pritish Bagdi

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The advanced brain-computer interface was created in collaboration with the Australian Army and the Defence Innovation Hub by Distinguished Professor Chin-Teng Lin and Professor Francesca Iacopi of the UTS Faculty of Engineering and IT.

In addition to military applications, the technology has significant potential in fields such as advanced manufacturing, aerospace, and healthcare, such as allowing people with disabilities to control wheelchairs or operate prosthetics.

"The hands-free, voice-free technology can be used outside of laboratory settings at any time and from any location." "It renders interfaces like consoles, keyboards, touchscreens, and hand-gesture recognition obsolete," Professor Iacopi explained.

"We were able to overcome issues of corrosion, durability, and skin contact resistance by using cutting-edge graphene material combined with silicon to develop the wearable dry sensors," she explained. The peer-reviewed journal ACS Applied Nano Materials has just published a new study outlining the technology. It demonstrates that the graphene sensors developed at UTS are highly conductive, simple to use, and durable. The hexagon-patterned sensors are placed on the back of the scalp to detect visual cortex brainwaves. The sensors are resistant to harsh conditions, allowing them to be used in harsh operating environments.

A head-mounted augmented reality lens displays white flickering squares to the user. The biosensor detects the operator's brainwaves by concentrating on a specific square, and a decoder converts the signal into commands. The Australian Army recently demonstrated the technology, in which soldiers used a brain-machine interface to control a Ghost Robotics quadruped robot. With up to 94% accuracy, the device enabled hands-free command of the robotic dog. "In two seconds, our technology can issue at least nine commands." This means we have nine different types of commands, and the operator can choose one of those nine within that time frame," Professor Lin explained. "We have also investigated how to reduce noise from the body and environment in order to obtain a clearer signal from an operator's brain," he said.

The researchers believe the technology will be of interest to the scientific community, industry, and government, and they hope to advance brain-computer interface systems further.





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