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A long-term analysis conducted by leading microbiologists at the Icahn School of Medicine at Mount Sinai reveals that antibody responses induced by COVID-19 vaccines are long-lasting. The study results, published online in the journal Immunity challenge the idea that mRNA-based vaccine immunity wanes quickly.

The emergence of SARS-CoV-2, the virus that causes COVID-19, in late 2019 sparked the global pandemic that is now in its fifth year. Vaccines that were developed at record speed have saved millions of lives. However, the emergence of SARS-CoV-2 variants and waning immunity have decreased the effectiveness of the vaccines against symptomatic disease. The common perception now is that mRNA-based vaccine-induced immunity wanes quickly.

However, this assumption is largely based on data from short-term studies that include a very limited number of data points following peak responses.

In an article published in the Journal of Materials Chemistry C, Brazilian researchers describe a strategy to enhance the efficiency and stability of solar cells made of perovskite, a semiconductor material produced in the laboratory. The results of the project could be highly positive for the future of the solar power sector.

Developed by researchers at São Paulo State University (UNESP) in Bauru, Brazil, the method involves the use of a class of materials known as MXenes, a family of two-dimensional materials with a graphene-like structure combining transition metals, carbon and/or nitrogen, and surface functional groups such as fluoride, oxygen or hydroxyl. Their properties include high electrical conductivity, good thermal stability, and high transmittance (relating to the amount of light that passes through a substance without being reflected or absorbed).

In the study, the MXene Ti3C2Tx was added to polymethyl methacrylate (PMMA) to form a passivation coating, which was spin-coated on top of the perovskite layer of inverted solar cells. Passivation coatings are designed to mitigate possible defects in polycrystalline solids (perovskite in this case) due to interaction with the environment or to their internal structure.

Science: In future maybe wounds be cured and closed in seconds by 3D printing regeneration.

Fat tissue holds the key to 3D printing layered living skin and potentially hair follicles, according to researchers who recently harnessed fat cells and supporting structures from clinically procured human tissue to precisely correct injuries in rats. The advancement could have implications for reconstructive facial surgery and even hair growth treatments for humans.

The team’s findings were published March 1 in Bioactive Materials. The U.S. Patent and Trademark Office granted the team a patent in February for the bioprinting technology it developed and used in this study.

Continue reading “3D-printed skin closes wounds and contains hair follicle precursors” »

According to a Mayo Clinic study published in Nature Neuroscience, the cells that act as the central nervous system’s first line of defense against harm also play a role in helping the brain awaken from anesthesia. This discovery could help pave the way for innovative methods that address post-anesthesia complications.

When coming out of anesthesia, more than one-third of patients can experience either extreme drowsiness or hyperactivity, a side effect called delirium. Mayo researchers found that special immune cells in the brain called microglia can act to shield neurons from the aftereffects of anesthesia to awaken the brain.

“This is the first time we’ve seen microglia enhance and boost neuronal activity by physically engaging the brain circuits,” says Mayo Clinic neuroscientist Long-Jun Wu, senior author of the study.

In Nature Physics, the LSU Quantum Photonics Group offers fresh insights into the fundamental traits of surface plasmons, challenging the existing understanding. Based on experimental and theoretical investigations conducted in Associate Professor Omar Magaña-Loaiza’s laboratory, these novel findings mark a significant advancement in quantum plasmonics, possibly the most noteworthy in the past decade.

While prior research in the field has predominantly focused on the collective behaviors of plasmonic systems, the LSU group adopted a distinct approach. By viewing plasmonic waves as a puzzle, they were able to isolate multiparticle subsystems, or break down the puzzle into pieces. This allowed the team to see how different pieces work together and revealed a different picture, or in this case, new behaviors for surface plasmons.

Plasmons are waves that move along the surface of metals when light is coupled to charge oscillations. Much like tossing pebbles into water generates ripples, plasmons are “ripples” traveling along metal surfaces. These minute waves operate on a nanometer scale, rendering them crucial in fields such as nanotechnology and optics.

Stanford researchers developed an AI model that identifies sex differences in brain activity with 90% accuracy, shedding light on neuropsychiatric conditions. This breakthrough, leveraging rsfMRI data, highlights significant brain function variances between men and women, offering new insights for personalized treatment.

Robots and cameras of the future could be made of liquid crystals, thanks to a new discovery that significantly expands the potential of the chemicals already common in computer displays and digital watches.

The findings, a simple and inexpensive way to manipulate the molecular properties of liquid crystals with light exposure, are now published in Advanced Materials.

“Using our method, any lab with a microscope and a set of lenses can arrange the liquid crystal alignment in any pattern they’d want,” said author Alvin Modin, a doctoral researcher studying physics at Johns Hopkins. “Industrial labs and manufacturers could probably adopt the method in a day.”

Quantum computers promise to efficiently predict the structure and behaviour of molecules. This Perspective explores how this could overcome existing challenges in computational drug discovery.

Neuromorphic computing, inspired by the intricate architecture and functionality of the human brain, represents a departure from traditional computing paradigms. Unlike conventional von Neumann architectures, which rely on sequential processing and centralized memory, neuromorphic systems emulate the parallelism, event-driven processing, and adaptive learning capabilities of biological neural networks. By leveraging principles such as massive parallelism and event-driven modality, neuromorphic computing offers a more efficient and flexible approach to processing complex data in real-time.

Advantages of Neuromorphic Computing for IoT

The adoption of neuromorphic computing in IoT promises many benefits, ranging from enhanced processing power and energy efficiency to increased reliability and adaptability. Here are some key advantages: