In a groundbreaking advancement, researchers have developed a transparent energy-harvesting device capable of capturing energy from both radio frequency (RF) waves and sunlight to power a wide array of wireless devices. This dual-source approach offers a more reliable and sustainable solution for energy harvesting, addressing the limitations of traditional systems that typically focus on just one energy source.

The new study, published recently, introduces an optically transparent rectifying metasurface system (RMS) that efficiently harvests RF energy while allowing the uninterrupted transmission of visible light. As the researchers explained, “In this paper, an optically transparent rectifying metasurface system is designed and validated for simultaneously harvesting RF energy while enabling the efficient transmission of visible light.”

A team of researchers led by Mount Sinai has significantly advanced an artificial intelligence (AI)-powered algorithmdesigned to analyze video recordings from clinical sleep tests, enhancing the accuracy of diagnosing REM Sleep Behavior Disorder (RBD)—a common sleep disorder affecting over 80 million people worldwide. This breakthrough, published in the journal Annals of Neurology on January 9, promises to improve diagnostic precision and aid early detection of Parkinson’s disease and dementia, conditions often heralded by RBD.

RBD is characterized by abnormal movements or the acting out of dreams during the REM phase of sleep. When it occurs in otherwise healthy individuals, it is referred to as “isolated RBD,” which affects more than one million people in the United States alone. Nearly all cases of isolated RBD are early indicators of neurodegenerative conditions such as Parkinson’s disease or dementia.

A research team led by Prof. Wan Yinhua at the Institute of Process Engineering (IPE), Chinese Academy of Sciences, has developed a groundbreaking mix-charged nanofiltration (NF) membrane that promises to revolutionize wastewater treatment, especially for high-salinity organic waste. This novel membrane, featuring a horizontal charge distribution, exhibits exceptional performance in salt permeation, organic matter retention, and antifouling properties, making it an ideal solution for treating complex, high-salinity wastewater.

The findings were published in Environmental Science & Technology on January 7, shedding light on a new approach to overcoming the limitations of traditional NF membranes in wastewater treatment.

Imagine a device that could identify mechanical damage in apples before bruising appears, detect diseases through a patient’s breath, monitor food freshness in real time across entire supply chains, and even sniff out hazardous gases in industrial settings—all using technology already found in your smartphone. Researchers at the Norwegian University of Science and Technology (NTNU) have developed such a device: a groundbreaking electronic nose that uses a single sensor to perform tasks that typically require hundreds of sensors. This innovative technology, known as the “Ant-nose,” could revolutionize industries ranging from food safety to environmental monitoring, offering a simpler and more affordable alternative to existing systems.

The Ant-nose uses a familiar principle—antenna technology, the same technology that powers wireless communication in devices like smartphones and computers—to create an artificial sense of smell. Unlike traditional electronic noses, which often require large arrays of specialized sensors, the Ant-nose achieves its remarkable sensitivity with a single antenna and a single type of coating. This simplicity dramatically reduces both cost and power consumption while maintaining high performance.