New research has revealed a startling truth about cleaning products labeled as “green” – they emit just as many harmful chemicals as regular products. This calls into question the assumption that these products are better for our health and the environment. The study, published in the journal Environmental Science: Processes & Impact, highlights the need
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In a groundbreaking study, a team of scientists from the U.S. Department of Energy’s Ames National Laboratory and SLAC National Accelerator Laboratory has shed new light on the properties and behavior of infinite-layer nickelates. These recently discovered unconventional superconductors have sparked great interest within the scientific community due to their potential applications in cutting-edge technologies.
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The Consumer Electronics Show (CES) 2024 showcased groundbreaking advancements in AI and healthcare, capturing the attention of tech enthusiasts worldwide. While these innovations dazzled the audience, the real game-changer driving these advancements lies within battery technology. Particularly, the focus on electric vehicles (EVs) has led researchers to seek ways to enhance power efficiency and achieve
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Depression is a complex condition that affects millions of people worldwide. For years, researchers have been trying to uncover the various factors that contribute to this mental health disorder. Recently, a team of scientists from the University of California San Francisco (UCSF) conducted a study that examined the relationship between body temperature and depressive symptoms.
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The development of sustainable technologies to address environmental challenges is crucial in our quest for a greener future. One such groundbreaking innovation is the advancement and commercialization of robust hydrogen fuel cells. These fuel cells contain a polymer electrolyte membrane that acts as a barrier between the electrodes, facilitating the flow of electricity. However, the
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Artificial intelligence (AI) has emerged as a game-changer in the field of chemical research. It offers innovative solutions to complex challenges that traditional methods struggle with. One specific subset of AI, machine learning, has gained significant traction in chemistry. Machine learning utilizes algorithms and statistical models to make decisions and perform tasks based on data
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With the development of new generation radioactive-ion beam facilities, the potential for conducting previously challenging experiments has significantly increased. These facilities allow researchers to discover new isotopes and uncover physics related to exotic nuclei, which are located far from the beta-stability valley. These experiments play a crucial role in deepening our understanding of the origins
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A recent study conducted by Dr. Armineh Barkhordarian from Universität Hamburg’s Cluster of Excellence for climate research CLICCS has revealed alarming findings about the future of the Arctic. The study suggests that marine heat waves, a phenomenon directly linked to higher anthropogenic greenhouse-gas emissions, will become a regular occurrence in the region. Since 2007, there
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The production of aluminum has long been recognized as a major contributor to environmental pollution, generating approximately 180 million tons of toxic red mud annually. However, scientists at the Max-Planck-Institut für Eisenforschung have pioneered a groundbreaking method to transform this waste into green steel, providing a promising solution to the pressing environmental issues associated with
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As the electric grid relies more on intermittent renewable power, predicting grid stability becomes crucial. Scientists from Oak Ridge National Laboratory (ORNL) and the University of Tennessee, Knoxville (UTK), have developed an algorithm that utilizes signals from pumped storage hydropower projects to accomplish this. By incorporating information from low-cost grid sensors and the unique signal
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The field of programmable photonic integrated circuits (PPICs) has seen significant progress in recent years. PPICs offer faster, more efficient, and massively parallel computing capabilities when compared to conventional supercomputers that rely on electric current. Researchers from the Daegu Gyeongbuk Institute of Science and Technology (DGIST), in collaboration with the Korea Advanced Institute of Science
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