What if the universe is a machine, and every moment in our past, present, and future is already encoded in the positions of its particles?
Physicist Sean Carroll explores the unsettling implications of classical mechanics, from Newton’s laws to Laplace’s thought experiment, showing how determinism challenges the very idea of free will.
Researchers from Rutgers Health and other institutions have discovered why a powerful leukemia drug eventually fails in most patients—and found a potential way to overcome that resistance.
Team members identified a protein that lets cancer cells reshape their energy-producing mitochondria in ways that protect them from venetoclax (brand name, Venclexta), a standard treatment for acute myeloid leukemia that often loses effectiveness after prolonged use.
Blocking that protein with experimental compounds in mice with human acute myeloid leukemia restored the drug’s effectiveness and prolonged survival.
A new 3D human brain tissue platform developed by MIT researchers is the first to integrate all major brain cell types, including neurons, glial cells and the vasculature into a single culture. Grown from individual donors’ induced pluripotent stem cells, these models—dubbed Multicellular Integrated Brains (miBrains)—replicate key features and functions of human brain tissue, are readily customizable through gene editing, and can be produced in quantities that support large-scale research.
Although each unit is smaller than a dime, miBrains may be worth a great deal to researchers and drug developers who need more complex living lab models to better understand brain biology and treat diseases.
“The miBrain is the only in vitro system that contains all six major cell types that are present in the human brain,” said Li-Huei Tsai, Picower Professor, director of The Picower Professor of Learning and Memory, and senior author of the study describing miBrains, published in the Proceedings of the National Academy of Sciences.
Two-photon interference, a quantum phenomenon arising from the principle of indistinguishability, is a powerful tool for quantum state engineering and plays a fundamental role in various quantum technologies. These technologies demand robust and efficient sources of quantum light, as well as scalable, integrable, and multifunctional platforms. In this regard, quantum optical metasurfaces (QOMs) are emerging as promising platforms for the generation and engineering of quantum light, in particular pairs of entangled photons (biphotons) via spontaneous parametric down-conversion (SPDC). Due to the relaxation of the phase-matching condition, SPDC in QOMs allows different channels of biphoton generation, such as those supported by overlapping resonances, to occur simultaneously. In previously reported QOMs, however, SPDC was too weak to observe such effects.
A class of antivirals called Pin1 inhibitors could reduce or stop outbreaks of herpes simplex virus 1 (HSV-1), the common infection behind oral herpes, according to new research published in Antiviral Research.
HSV-1 causes sores around the mouth, commonly called cold sores or fever blisters. Most people are infected with HSV-1 in childhood, and between 50% and 90% of people worldwide have HSV-1. After the initial infection, HSV-1 remains in the body and can reactivate throughout a person’s life. While HSV-1 infections are usually mild, they can be serious and even deadly for people with suppressed immune systems. Finding new, more effective antivirals for this common illness is essential.
Researchers focused on an enzyme called peptidyl-prolyl cis-trans isomerase NIMA-interacting 1, or Pin1, that regulates protein stability, function, and cellular structure. When this enzyme is dysregulated, it can play a role in a variety of conditions, including obesity, cancer, heart failure, and more. Viruses, such as cytomegalovirus (CMV) and SARS-CoV-2, are known to affect Pin1, and Pin1 inhibitors have been developed to reduce the impact of these viruses.
Clinical resistance is a complex phenomenon in major human cancers involving multifactorial mechanisms, and hypoxia is one of the key components that affect the cellular expression program and lead to therapy resistance. The present study aimed to summarize the role of hypoxia in cancer therapy by regulating the tumor microenvironment (TME) and to highlight the potential of hypoxia-targeted therapy.
Networks are systems comprised of two or more connected devices, biological organisms or other components, which typically share information with each other. Understanding how information moves between these connected components, also known as nodes, could help to advance research focusing on numerous topics, ranging from artificial intelligence (AI) to neuroscience.
To measure the directional flow of information in systems, scientists typically rely on a mathematical construct known as transfer entropy, which essentially quantifies the rate at which information is transmitted from one node to another. Yet most strategies for calculating transfer entropy developed so far rely on approximations, which significantly limits their accuracy and reliability.
Researchers at AMOLF, a fundamental physics institute in the Netherlands, recently developed a computational algorithm that can precisely quantify transfer entropy in a wide range of complex networks. Their algorithm, introduced in a paper published in Physical Review Letters, opens new exciting possibilities for the study of information transfer in both biological and engineered networks.
A team of researchers from the Federal University of São Carlos (UFSCar) in the state of São Paulo, Brazil, has developed a sensor that can identify sodium nitrite (NaNO2) in various beverages, including mineral water, orange juice, and wine. This inorganic salt is used as a preservative and fixative to give products such as ham, bacon, and sausages their pink or red color. Depending on the amount, it can cause serious health problems by leading to the formation of nitrosamines, which are carcinogenic compounds.
“This risk motivated us to develop a simple, fast, and accessible way to detect the compound and ensure the quality and safety of liquid consumption,” says Bruno Campos Janegitz, head of the Laboratory of Sensors, Nanomedicine, and Nanostructured Materials (LSNano) at UFSCar. Janegitz coordinated the study, which was published in the journal Microchimica Acta.
“Detection [of NaNO2] in beverages, especially wines, is important for quality control, since its use is not legally permitted in Brazil and most countries,” the authors write in the article.
Many of the world’s most important systems, such as the atmosphere, turbulent fluids, and even the motion of planets, behave unpredictably due to chaos and noise. Scientists often study these systems through their “invariant” measures, long-term statistical behaviors, rather than individual paths. While useful, these measures have a fundamental limitation: completely different systems can share the same statistics, making it impossible to identify the underlying dynamics.
Researchers led by mathematician Yunan Yang have introduced a new way forward, using time-delay snapshots. Their work, “Invariant Measures in Time-Delay Coordinates for Unique Dynamical System Identification,” was published in Physical Review Letters on Oct. 17.
An invariant measure is a way of assigning size or probability to parts of a system that remain unchanged when the system is transformed or evolves. Time-delay snapshots use invariant measures that are expressed in time-delay coordinates—linking present observations to their past values—and providing enough information to distinguish between systems.
Scientists in South Korea have unveiled a transparent, wearable sensor that monitors a user’s exposure to ultraviolet A (UVA) radiation in real-time. The technology could help prevent sunburn and long-term skin damage that can cause cancer.
Ultraviolet radiation is released naturally by the sun and artificially by tanning beds. The problem with overexposure is that the rays can penetrate deep into the skin and damage DNA, potentially causing cells to grow out of control and leading to cancer. In many countries, the majority of skin cancer cases are linked to this type of overexposure.
While wearing long clothes and hats and applying sunscreen provides valuable protection, the researchers wanted a simple device to alert wearers when exposure reached a certain level. Current sensors often lack the ability to track UVA and are opaque, which makes them uncomfortable and difficult to use in wearable tech like smart glasses.