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In recent years, advancements in materials science and engineering have paved the way for the development of sophisticated materials tailored for robotic and prosthetic applications. One such innovation is the electronic skin, or e-skin, which is designed to mimic the sense of touch by sensing the surrounding environment. Recently, researchers at Tsinghua University have introduced
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In a groundbreaking discovery, a team of chemists led by Prof. Albert Heck has revolutionized the way molecules are analyzed and understood. By enhancing current measuring equipment, the team has successfully trapped and observed individual molecules for an extended period – up to an impressive 25 seconds. This monumental achievement has allowed them to delve
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The Earth’s atmosphere is a complex system with multiple layers, each playing a vital role in regulating our planet’s climate and air quality. However, there are still significant gaps in our understanding of atmospheric chemistry, particularly in the troposphere – the lowest layer of the atmosphere. One crucial aspect that has garnered attention in recent
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The concept of objects disappearing seamlessly has been a fascination for both scientists and the general public. From basic camouflage techniques to the highly advanced metamaterial-based cloaks of today, the evolution of invisibility technology has been nothing short of remarkable. Researchers at Zhejiang University have recently made significant progress in the field of invisibility cloaks
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Fasting is a practice that has been gaining popularity in recent years due to its potential health benefits. According to a new study conducted by researchers in Europe and the UK, fasting for more than three days can lead to significant changes in protein production that may predict better health outcomes. The study involved 12
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In recent years, deep learning tools have completely transformed the field of aerodynamic engineering, allowing for significant advancements in the design and optimization of planes, cars, and ships. By leveraging neural network architecture, researchers have been able to develop new computational models that not only improve accuracy in predicting aerodynamic drag but also drastically reduce
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Temperature is a critical parameter in chemical reactions, influencing both thermodynamics and reaction kinetics. Understanding the temperature distribution inside catalyst particles is crucial for determining reaction mechanisms and developing effective reaction kinetics. Recently, a research team at the Dalian Institute of Chemical Physics (DICP) developed a novel technique for measuring temperature distribution inside industrial zeolite
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