In the vast expanse of the Corona Borealis constellation, approximately 2,500 light-years away, lies a star known as T Coronae Borealis. Astronomers are anxiously anticipating an explosion that will transform this star into one of the brightest objects visible in the night sky. The event is not only expected to be visually striking but also
Parkinson’s disease is a debilitating neurodegenerative condition that affects millions of people globally. Researchers have been working tirelessly to find ways to identify the disease in its earliest stages in order to develop better treatments and preventative strategies. A recent study conducted by University College London biochemist Jenny Hällqvist and her team has shown promising
The realm of molecular reactions is a fascinating yet complex world that requires a keen eye and specialized equipment for observation. Just like capturing tiny lava flows during a volcanic eruption, filming molecular actors like covalent organic frameworks (COFs) demands precision and innovation. With the potential to revolutionize battery technology and hydrogen production, understanding the
Discovering one Higgs boson was already a monumental task, but now scientists are faced with the challenge of finding two Higgs bosons in the same place at the same time – a process known as di-Higgs production. This intricate process sheds light on the self-interaction of the Higgs boson, specifically the measurement of its “self-coupling,”
As the summer of 2024 kicks off, more than 260 million people are bracing themselves for a challenging heatwave that is set to break records across northeastern US. The National Weather Service (NWS) has issued warnings about the duration and intensity of this heatwave, stating that it may be the longest experienced in decades for
Wildfires in California have become increasingly common and devastating in recent years. While many studies focus on the effects of climate change on wildfires, a new study from UC Riverside looks at how large wildfires are actually changing the climate. By analyzing the impact of soot from wildfires on sunlight trapping and weather patterns, researchers
Organ preservation has always been a challenge in the field of medical advancements, with cryogenic damage posing a significant barrier to effective organ transplantations and treatments. The formation of ice crystals during freezing can lead to irreversible damage to cellular structures, ultimately resulting in organ failure. This issue affects thousands of individuals worldwide who are
When Bae Jin-soo made the bold decision to leave his lucrative job at a major South Korean conglomerate in pursuit of a career as a writer, his parents disapproved to the extent of kicking him out of their home. Fast forward seventeen years, Bae has become a prominent figure in South Korea’s booming webtoon industry,
Throughout history, Jupiter’s Great Red Spot (GRS) has captured the fascination of astronomers with its massive size and powerful storms. Dating back to the 1600s, the GRS has been a longstanding feature of the Solar System. However, despite centuries of observation, the exact date of its formation and its longevity remain subjects of debate. Have
The study of dark energy and dark matter has long been a mystery in the field of physics. Ordinary matter makes up only a small percentage of the universe, with the rest being attributed to dark matter and dark energy. Detecting and understanding these components of the universe is crucial in unraveling the secrets of
In a groundbreaking study led by Professor Alexander Kvashnin from Skoltech’s Energy Transition Center, a team of researchers has uncovered the unique catalytic properties of tungsten pentaboride, WB5-x. This new material has proven to be superior to traditional catalysts and has the potential to revolutionize various industrial processes. One of the key findings of the
Roboticists have made great strides in developing sophisticated systems over the years. However, the challenge lies in teaching these systems to effectively tackle new tasks. Mapping high-dimensional data, such as images from RGB cameras, to robot actions is a crucial aspect of training. Recently, researchers at Imperial College London and the Dyson Robot Learning Lab