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Blog – Page 1864

There is reason to believe that novel physics outside the standard model may be on the horizon.

When two neutron stars merge, a short-lived, hot, dense remnant is created. This residue provides an excellent environment for the synthesis of unusual particles. For a brief while, the remnant becomes far hotter than the individual stars before congealing into a larger neutron star or, depending on the original masses, a black hole.

A new study suggests that neutron star mergers are a treasure trove for new physics signals, with implications for determining the true nature of dark matter.

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Bats are an important group of mammals to understand the ecology, diversity, and transmission of associated microbes – including viruses, bacteria, and fungi.

Over the past two decades, research on bat-associated microbes such as viruses, bacteria and fungi has dramatically increased. Here, we synthesize themes from a conference symposium focused on advances in the research of bats and their microbes, including physiological, immunological, ecological and epidemiological research that has improved our understanding of bat infection dynamics at multiple biological scales. We first present metrics for measuring individual bat responses to infection and challenges associated with using these metrics. We next discuss infection dynamics within bat populations of the same species, before introducing complexities that arise in multi-species communities of bats, humans and/or livestock. Finally, we outline critical gaps and opportunities for future interdisciplinary work on topics involving bats and their microbes.

Studies of bat-associated microbes (i.e. microorganisms detected in or isolated from bats) date back to rabies virus investigations in the early 1900s [1]. In the past two decades, following the emergence of Severe Acute Respiratory Syndrome (SARS) coronavirus (CoV) in 2003 and SARS-CoV-2 in 2019, there has been a dramatic increase in research on bat-associated microbes, including viruses, bacteria, haemosporidians and fungi [2–5]. These microbes may or may not cause disease in bats, and thus we broadly use the term ‘microbes’ rather than ‘pathogens’ throughout this paper to acknowledge that detecting microorganisms in bats is distinct from the process of determining pathogenicity [6].

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Emerging nanotechnology and molecular innovations present promising strategies in combating inflammation and diabetes, aiming to transform treatment methods and improve patient outcomes significantly.

The intersection of nanotechnology and biomedicine has sparked significant advances in the treatment and understanding of both inflammatory and metabolic diseases. These advances have brought about innovative solutions to longstanding medical challenges, such as rheumatoid arthritis (RA) and type 2 diabetes mellitus (T2DM), diseases that collectively affect millions worldwide.

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Summary: A recent study showcases a significant leap in the study of brain oscillations, particularly ripples, which are crucial for memory organization and are affected in disorders like epilepsy and Alzheimer’s. Researchers have developed a toolbox of AI models trained on rodent EEG data to automate and enhance the detection of these oscillations, proving their efficacy on data from non-human primates.

This breakthrough, stemming from a collaborative hackathon, offers over a hundred optimized machine learning models, including support vector machines and convolutional neural networks, freely available to the scientific community. This development opens new avenues in neurotechnology applications, especially in diagnosing and understanding neurological disorders.

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Optical properties of afterglow luminescent particles (ALPs) in mechanoluminescence (ML) and mechanical quenching (MQ) have attracted great attention for diverse technological applications. A team of researchers from Pohang University of Science and Technology (POSTECH) has garnered attention by developing an optical display technology with ALPs enabling the writing and erasure of messages underwater.

The team, comprised of Professor Sei Kwang Hahn and Ph.D. candidate Seong-Jong Kim from the Department of Materials Science and Engineering at the POSTECH, uncovered a distinctive optical phenomenon in ALPs. Subsequently, they successfully created a device to implement this phenomenon. Their findings have been published in Advanced Functional Materials.

ALPs have the capability to absorb energy and release it gradually, displaying mechanoluminescence when subjected to external physical pressure and undergoing mechanical quenching where the emitted light fades away. While there has been active research on utilizing this technology for optical displays, the precise mechanism has remained elusive.

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A team of Stony Brook University physicists and their collaborators have taken a significant step toward the building of a quantum internet testbed by demonstrating a foundational quantum network measurement that employs room-temperature quantum memories. Their findings are described in a paper published in the Nature journal Quantum Information.

Research with quantum computing and quantum networks is taking place around the world in the hopes of developing a quantum internet, a network of quantum computers, sensors, and communication devices that will create, process, and transmit quantum states and entanglement. It is anticipated to enhance society’s internet system and provide certain services and securities that the current internet does not have.

The field of quantum information combines aspects of physics, mathematics, and classical computing to use quantum mechanics to solve complex problems much faster than classical computing and to transmit information in an unhackable manner. While the vision of a quantum internet system is growing and the field has seen a surge in interest from researchers and the public at large, accompanied by a steep increase in the capital invested, an actual quantum internet prototype has not been built.

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