Northernmost Neolithic Fortifications Found

The group of archaeologists in the project under the state order of the Ministry of Science and Education of Russia is headed by Victor Borzunov.
Photo from Victor Borzunov's personal archive

To establish and characterize in detail the livelihood strategies of the primitive population of the Trans-Urals and Western Siberia of the Stone, Bronze and Early Iron eras. This is the task archeologists at Ural Federal University have set for themselves within the interdisciplinary project "Regional Identity of Russia: Comparative Historical and Philological Studies". Scientists have found that during the New Stone Age, the aborigines of the forest belt of the north of the Eurasian continent continued to maintain an appropriate economy and could not rise to the level of a fundamentally new production economy.

Scientists conduct research in this area under the state order of the Ministry of Science and Education of Russia (№ FEUZ-2020-0056) and under a grant from the Russian Science Foundation. The group in the project is headed by Victor Borzunov, a Senior Researcher of the Fundamental Research Archaeological Laboratory of UrFU.

The work, which continued many years of research by the laboratory personnel, is carried out in three main directions. The first is the study of neolithization of the societies of the Ural-West Siberian Region. In other words, the peculiarities of ancient groups of 6th-4th millennia B.C. to the advanced innovations of the Old World, such as productive economy, more or less strong sedentary life, large stationary settlements, ceramic production, defense architecture, fundamentally different house-building, stone processing, new social structures etc.

The second direction is the analysis of the origin and development of the ancient defensive architecture of the north of Eurasia in the 7th millennium B.C. - 3rd century A.D., its place and role in the general system of origin and development of fortified settlements, proto-cities and cities of the Old World.

Road signs for immune defense cells

The mechanism of MHC I assembly, epitope editing and quality control within the peptide loading complex (PLC). The fully assembled PLC machinery of antigen processing is formed by the antigen transport complex TAP1/2, the chaperones calreticulin, ERp57, and tapasin, and the heterodimeric MHC I (heavy and light chain in teal and green, respectively).
Credit: Christoph Thomas & Robert Tampé

How do killer T cells recognize cells in the body that have been infected by viruses? Matter foreign to the body is presented on the surface of these cells as antigens that act as a kind of road sign. A network of accessory proteins – the chaperones – ensure that this sign retains its stability over time. Researchers at Goethe University have now reached a comprehensive understanding of this essential cellular quality control process. Their account of the structural and mechanistic basis of chaperone networks has just appeared in the prestigious science journal Nature Communications. These new findings could be harbingers of progress in areas such as vaccine development.

Organisms are constantly invaded by pathogens such as viruses. Our immune system swings into action to combat these pathogens immediately. The innate non-specific immune response is triggered first, and the adaptive or acquired immune response follows. In this second defense reaction, specialized cytotoxic T lymphocytes known as killer T cells destroy cells in the body that have been infected and thus prevent damage from spreading. Humans possess a repertoire of some 20 million T cell clones with varying specificity to counter the multitude of infectious agents that exist. But how do the killer T cells know where danger is coming from? How do they recognize that something is wrong inside a cell in which viruses are lurking? They can't just have a quick peek inside.

Transplant hope for minority communities as researchers alter donor kidney blood type

Credit Sasin Tipchai via Pixabay

Researchers at the University of Cambridge have successfully altered the blood type on three deceased donor kidneys in a ground-breaking discovery that could have major implications for kidney patients. The project, which is funded by charity Kidney Research UK, could increase the supply of kidneys available for transplant, particularly within ethnic minority groups who are less likely to be a match for the majority of donated kidneys.

Professor Mike Nicholson and PhD student Serena MacMillan used a normothermic perfusion machine (a device which connects with a human kidney to pass oxygenated blood through the organ to better preserve it for future use) to flush blood infused with an enzyme through the deceased kidney. The enzyme acted like “molecular scissors” to remove the blood type markers that line the blood vessels of the kidney resulting in the organ being converted to the most common O type.

A kidney from someone with an A blood type cannot be transplanted to someone with a B blood type, nor the other way around. But changing the blood type to the universal O will allow more transplants to take place as O can be used for people with any blood group.

MacMillan said: “Our confidence was really boosted after we applied the enzyme to a piece of human kidney tissue and saw very quickly that the antigens were removed. After this, we knew that the process is feasible, and we just had to scale up the project to apply the enzyme to full-size human kidneys. By taking B type human kidneys and pumping the enzyme through the organ using our normothermic prefusion machine, we saw in a matter of just a few hours that we had converted a B type kidney into an O type. It’s very exciting to think about how this could potentially impact so many lives.”

Climate change could lead to larger algal blooms

algal blooms
Credit: Hardebeck Media from Pixabay

Griffith-led research has revealed that both the decreases in wind and the higher temperatures predicted with climate change can cause bigger algal blooms in the future.

Published in Water Research, the study found that a 20% decrease in wind speed will result in algal blooms of the freshwater cyanobacteria Microcystis that are almost one and a half times the current size.

“The impact this decrease in wind will have on algal blooms is more than six times that of a 2°C increase in air temperature associated with climate change,” said lead author Mohammad Hassan Ranjbar, a PhD candidate at the Australian Rivers Institute.

“Harmful algal blooms of the freshwater cyanobacteria Microcystis are a global problem and are expected to intensify with climate change, however, to date the impact of atmospheric stilling, the decrease in near-surface wind speed, has not been considered.

“Our research is the first to demonstrate that atmospheric stilling along with increasing air temperature can favor blooms of these buoyant, colony-forming cyanobacteria.”

$148K project to digitize thousands of rare, native plant specimens

UH Mānoa student Chase Kane prepares a plant specimen to be photographed and digitally accessible to researchers around the world.
Credit: University of Hawaiʻi

A University of Hawaiʻi at Mānoa project to digitize tens of thousands of plant specimens from Hawaiʻi, across the vast Pacific Ocean and around the world, received a major boost by the National Science Foundation. The three-year, $148,882 grant will help School of Life Sciences Assistant Professor Karolina Heyduk and her team to digitize and catalog more than 55,000 plant specimens, many of which are extinct, to preserve and improve access worldwide to one of the oldest collections of Pacific plants.

“Our goal for the project is to get all 55,000 plant specimens digitized for the whole world to see and facilitate research on Hawaiian plants across the globe,” Heyduk said. “The herbarium represents a really unique collection that is used by both researchers and also used in classes and teaching on campus.”

Hawaiʻi has some of the greatest biodiversity in the world and there are approximately 1,400 plant taxa (species, subspecies and varieties) native to the state, according to the Hawaiʻi Department of Land and Natural Resources. Nearly 90% are found nowhere else in the world. However, more than 100 plant taxa have gone extinct, and more than 200 have 50 or fewer individuals remaining in the wild.

UH Mānoa’s Joseph F. Rock Herbarium was established in 1908 and is home to many rare and endemic plant specimens from Hawaiʻi and other Pacific islands, some of which have since become extinct. The herbarium serves as a crucial record of biodiversity and is an invaluable resource for species that are extinct, threatened or endangered.

Climate change makes catastrophic flood twice as likely

 Flooding damaged the Oroville Dam main spillway after record 2017 storms in parts of Northern California. ArkStorm-scale events would bring much more precipitation over a wider region.
Credit: William Croyle/California Department of Water Resources

California lives with a sleeping giant — an occasional flood so large that it inundates major valleys with water flows hundreds of miles long and tens of miles across.

Motivated by one such flood that occurred in 1862, scientists investigated the phenomenon in 2010. They called it the “ArkStorm scenario,” reflecting the potential for an event of biblical proportions.

To account for the additional flood-worsening effects of climate change, scientists from UCLA and the National Center for Atmospheric Research have completed the first part of ArkStorm 2.0.

“In the future scenario, the storm sequence is bigger in almost every respect,” said Daniel Swain, UCLA climate scientist and co-author of the paper, which is published today in the journal Science Advances. “There’s more rain overall, more intense rainfall on an hourly basis and stronger wind.”

In total, the research projects that end-of-the-century storms will generate 200% to 400% more runoff in the Sierra Nevada Mountains due to increased precipitation and more precipitation falling as rain, not snow.

The researchers used a combination of new high-resolution weather modeling and existing climate models to compare two extreme scenarios: one that would occur about once per century in the recent historical climate and another in the projected climate of 2081-2100. Both would involve a long series of storms fueled by atmospheric rivers over the course of a month.

Antarctica's Ice Shelves Could be Melting Faster than We Thought

Credit: Andrew Thompson

A new model developed by Caltech and JPL researchers suggests that Antarctica's ice shelves may be melting at an accelerated rate, which could eventually contribute to more rapid sea level rise. The model accounts for an often-overlooked narrow ocean current along the Antarctic coast and simulates how rapidly flowing freshwater, melted from the ice shelves, can trap dense warm ocean water at the base of the ice, causing it to warm and melt even more.

The study was conducted in the laboratory of Andy Thompson, professor of environmental science and engineering, and appears in the journal Science Advances on August 12.

Ice shelves are outcroppings of the Antarctic ice sheet, found where the ice juts out from land and floats on top of the ocean. The shelves, which are each several hundred meters thick, act as a protective buffer for the mainland ice, keeping the whole ice sheet from flowing into the ocean (which would dramatically raise global sea levels). However, a warming atmosphere and warming oceans caused by climate change are increasing the speed at which these ice shelves are melting, threatening their ability to hold back the flow of the ice sheet into the ocean.

"If this mechanism that we've been studying is active in the real world, it may mean that ice shelf melt rates are 20 to 40 percent higher than the predictions in global climate models, which typically cannot simulate these strong currents near the Antarctic coast," Thompson says.

Two Monumental Milestones Achieved in CT Imaging

Conventional chest CT image (left side) of the human airways compared to the new and improved PCD-CT system (right side). The image produced with the PCD-CT system shows better delineation of the bronchial walls. Preliminary studies showed that the PCD-CT system allowed radiologists to see smaller airways than with standard CT systems.
Image credit: Cynthia McCollough, Mayo Clinic, Rochester, Minnesota.

Two biomedical imaging technologies developed with support from the National Institute of Biomedical Imaging and Bioengineering (NIBIB) have been cleared for clinical use by the Food and Drug Administration (FDA). Both technologies offer advances in computed tomography (CT).

In one of these developments, project lead Cynthia McCollough, Ph.D., director of Mayo Clinic’s CT Clinical Innovation Center and her team helped develop the first photon-counting detector (PCD)-CT system, which is superior to current CT technology. CT imaging has been an immense clinical asset for diagnosing many diseases and injuries. However, since its introduction into the clinic in 1971, the way that the CT detector converts x-rays to electrical signals has remained essentially the same. Photon-counting detectors operate using a fundamentally different mechanism than any prior CT detector ever has.

“This is the first major imaging advancement cleared by the FDA for CT in a decade,” stated Behrouz Shabestari, Ph.D., director of the division of Health Informatics Technologies. “The impact of this development will be far-reaching and provide clinicians with more detailed information for medical diagnoses.”

A CT scan is obtained when an x-ray beam rotates around a patient, allowing x-rays to pass through the patient. As the x-rays leave the patient a picture is taken by a detector and the information is transmitted to a computer for further processing. “Standard CT detectors use a two-step process, where x-rays are turned into light and then light is converted to an electrical signal,” explained Cynthia McCollough. “The photon-counting detector uses a one-step process where the x-ray is immediately transformed into an electrical signal.”

AI could help patients with chronic pain avoid opioids

Image by Andrea from Pixabay

Cognitive behavioral therapy is an effective alternative to opioid painkillers for managing chronic pain. But getting patients to complete those programs is challenging, especially because psychotherapy often requires multiple sessions and mental health specialists are scarce.

A new study suggests that pain CBT supported by artificial intelligence renders the same results as guideline-recommended programs delivered by therapists, while requiring substantially less clinician time, making this therapy more accessible.

“Chronic pain is incredibly common: back pain, osteoarthritis, migraine headaches and more. Because of pain, people miss work, develop depression, some people drink more alcohol than is healthy, and chronic pain is one of the main drivers of the opioid epidemic,” said John Piette, a professor at the University of Michigan’s School of Public Health and senior research scientist at the Veterans Administration.

“We’re very excited about the results of this study, because we were able to demonstrate that we can achieve pain outcomes that are at least as good as standard cognitive behavioral therapy programs, and maybe even better. And we did that with less than half the therapist time as guideline-recommended approaches.”

Traditionally, CBT is delivered by a therapist in 6 to 12 weekly in-person sessions that target patients’ behaviors, help them cope mentally and assist them in regaining functioning.

Synthetic genetic circuits that could help plants adapt to pressures from climate change

The activity of synthetic genetic circuits that process the presence or absence of specific signals in plant leaves was measured in high throughput by placing leaf punches in 96-well plates. When the correct combinations of inputs are delivered to leaves, they fluoresce green, and the fluorescence can be measured using a plate reader.
Image credit: Jennifer Brophy

Using synthetic genes, researchers at Stanford have been able to modify the root structures of plants. Their work could make crops more efficient at gathering nutrients and water, and more resilient to increasing pressures from climate change.

Increasingly, global food production is being threatened by the effects of climate change. As floods, droughts, and extreme heat waves become more common, crops need to be able to adapt faster than ever.

Researchers at Stanford University are working on ways to manipulate biological processes in plants to help them grow more efficiently and effectively in a variety of conditions. Jennifer Brophy, an assistant professor of bioengineering, and her colleagues have designed a series of synthetic genetic circuits that allow them to control the decisions made by different types of plant cells. In a paper published recently in Science, they used these tools to grow plants with modified root structures. Their work is the first step in designing crops that are better able to collect water and nutrients from the soil and provides a framework for designing, testing, and improving synthetic genetic circuits for other applications in plants.

“Our synthetic genetic circuits are going to allow us to build very specific root systems or very specific leaf structures to see what is optimal for the challenging environmental conditions that we know are coming,” Brophy said. “We’re making the engineering of plants much more precise.”