Scaling up to excellence: practicing model scaling for photo-realistic image restoration in the wild.
Join the discussion on this paper page.
A University of Alberta research team has uncovered differences in the way male and female mice develop and resolve chronic pain, pointing to potential pathways for future targeted treatments for humans.
In recently published research in Brain, Behavior, and Immunity, the team reports on its study of mice with chronic pain resulting from inflammation rather than direct injury. The researchers found that the female mice were more sensitive to the effects of immune cells called macrophages. They also identified an X chromosome-linked receptor that is critical for resolving both acute and chronic inflammation in both sexes.
“We’re always interested in understanding the triggers for pain, but in this study, we went up the next step to ask how pain resolves to determine how these immune cells are involved,” explains principal investigator Bradley Kerr, professor of anesthesiology and pain medicine in the Faculty of Medicine & Dentistry.
The tool, Nightshade, introduces subtle alterations into an image to confuse AI models and “poison” their training data.
The fountain of youth has eluded explorers for ages.
Summary: Researchers found that T cells can be genetically reprogrammed to target and eliminate senescent cells, which contribute to aging-related diseases. By using CAR (chimeric antigen receptor) T cells in mice, they achieved significant health improvements including lower body weight, enhanced metabolism, and increased physical activity.
This groundbreaking approach, offering long-term effects from a single treatment, could revolutionize treatments for age-related conditions like obesity and diabetes, transcending the potential of CAR T cells beyond their current use in cancer therapy.
An experiment carried out in Italy, backed by theoretical support from Newcastle University, has produced the first experimental evidence of vacuum decay.
In quantum field theory, when a not-so-stable state transforms into the true stable state, it’s called “false vacuum decay.” This happens through the creation of small localized bubbles. While existing theoretical work can predict how often this bubble formation occurs, there hasn’t been much experimental evidence. Now, an international research team involving Newcastle University scientists has for the first observed these bubbles forming in carefully controlled atomic systems. Published in the journal Nature Physics, the findings offer experimental evidence of bubble formation through false vacuum decay in a quantum system.
Researchers discovered a method to expedite the study of bacterial gene regulation, which could help fight antibiotic resistance by analyzing DNA replication’s impact on gene expression.
Bacterial infections cause millions of deaths each year, with the global threat made worse by the increasing resistance of the microbes to antibiotic treatments. This is due in part to the ability of bacteria to switch genes on and off as they sense environmental changes, including the presence of drugs. Such switching is accomplished through transcription, which converts the DNA in genes into its chemical cousin in mRNA, which guides the building of proteins that make up the microbe’s structure.
For this reason, understanding how mRNA production is regulated for each bacterial gene is central to efforts to counter resistance, but approaches used to study this regulation to date have been laborious. In a new study, scientists revealed a trick that may speed such efforts.
A team of researchers headed by Professor Sun Zhong at Peking University recently unveiled an analog hardware approach for real-time compressed sensing recovery. Their findings have been documented in a paper recently published in Science Advances.
In this work, a design based on a resistive memory (also known as memristor) array for performing instantaneous matrix-matrix-vector multiplication (MMVM) is first introduced. Based on this module, then an analog matrix computing circuit that solves compressed sensing (CS) recovery in one step (within a few microseconds) is disclosed.
Researchers have developed a new spectroscopy method to study ultrafast processes in strongly correlated materials, achieving sub-femtosecond resolution.
An international team of researchers from the European XFEL together with colleagues from the Max Born Institute in Berlin, the Universities of Berlin and Hamburg, The University of Tokyo, the Japanese National Institute of Advanced Industrial Science and Technology (AIST), the Dutch Radboud University, Imperial College London, and Hamburg Center for Ultrafast Imaging, have presented new ideas for ultrafast multi-dimensional spectroscopy of strongly correlated solids. This work will be published today (January 24) in Nature Photonics.
Exploring Strongly Correlated Solids
Intermediate-Mass Black Holes (IMBHs) represent a cosmic puzzle, with their existence and formation mechanisms shrouded in mystery.
A recent study led by Gran Sasso Science Institute researcher Manuel Arca Sedda and published in Monthly Notices of the Royal Astronomical Society journal (MNRAS), sheds light on the mechanisms that lead to the formation of mysterious Intermediate-Mass Black Holes (IMBHs). These are objects with masses between a few hundred and tens of thousands of solar masses, which could represent the link between their smaller relatives, stellar black holes, and the supermassive giants that populate the centers of galaxies.
Continue reading “Cracking the Code: How Intermediate-Mass Black Holes Form” »
Cybersecurity researchers have discovered a loophole impacting Google Kubernetes Engine (GKE) that could be potentially exploited by threat actors with a Google account to take control of a Kubernetes cluster.
The critical shortcoming has been codenamed Sys: All by cloud security firm Orca. As many as 250,000 active GKE clusters in the wild are estimated to be susceptible to the attack vector.
In a report shared with The Hacker News, security researcher Ofir Yakobi said it “stems from a likely widespread misconception that the system: authenticated group in Google Kubernetes Engine includes only verified and deterministic identities, whereas in fact, it includes any Google authenticated account (even outside the organization).”
