Culture
How do people experience time alone and time with others? Findings from a new Bar-Ilan University study reveal the intricacies of people's experiences in these basic social conditions.
The study used a unique approach of analyzing self-generated text from more than 1,700 participants who performed a sentence-completion task regarding their experience alone and their social experience when in the company of others. This approach shed light on people's perceptions when free to express themselves without being bound to specific questions.
It is something quite common in physics: electrons leave a certain material, they fly away and then they are measured. Some materials emit electrons, when they are irradiated with light. These electrons are then called "photoelectrons". In materials research, so-called "Auger electrons" also play an important role - they can be emitted by atoms if an electron is first removed from one of the inner electron shells. But now scientists at TU Wien (Vienna) have succeeded in explaining a completely different type of electron emission, which can occur in carbon materials such as graphite.
The largest freshwater bacterium, Achromatium oxaliferum, is highly flexible in its requirements, as researchers led by the IGB have now discovered: It lives in places that differ extremely in environmental conditions such as hot springs and ice water. The bacterial strains from the different ecosystems do not differ in their gene content, but rather chose what to express. The adaptation is probably achieved by a process which is unique to these bacteria: only relevant genes are enriched in the genomes and transcribed, while others are archived in cell compartments.
In normal circumstances, particles will follow well-established random motions as they diffuse through liquids and gases. Yet in some types of system, this behaviour can be disrupted - meaning the diffusion motions of particles are no longer influenced by the outcomes of chains of previous events. Through research published in EPJ E, Bernhard Mitterwallner, a Ph.D. student in the team of Roland Netz at the Free University of Berlin, Germany, has developed new theories detailing how these unusual dynamics can be reproduced in generalised mathematical models.
Pairs of antibodies may be more effective than single antibodies at preventing and treating COVID-19, according to a new study by researchers at the University of North Carolina at Chapel Hill and The Rockefeller University in New York.
A study published today in JAMA Network Open/Emergency Medicine supports evidence that older persons admitted to emergency departments (ED), and subsequently diagnosed positive for COVID-19, often present with delirium when they show no other typical COVID-19 symptoms, such as fever and cough. Sharon K.
A collaborative research team from the University of Oklahoma, the Memorial Sloan Kettering Cancer Center
and Merck & Co. published an opinion article in the journal, Nature Chemical Biology, that addresses the gap in the discovery of new antibiotics.
Peer-reviewed / Systematic review and meta-analysis / People
Systematic review and meta-analysis of three human coronaviruses suggests that people infected with SARS-CoV-2 are most likely to be highly infectious in the first week after symptom onset, highlighting the need to identify and isolate cases early.
Announcing a new article publication for BIO Integration journal. In this article the authors Zhong, Cuiyu; Zhang, Lei; Huang, Jiandong; Huang, Songyin; Yao, Yandan from Sun Yat-sen University, Guangzhou, China; Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China and Shenzhen Institutes of Advanced Technology, Guangdong, China review antimicrobial peptides with anticancer properties.
The African crested rat (Lophiomys imhausi) is hardly the continent's most fearsome-looking creature--the rabbit-sized rodent resembles a gray puffball crossed with a skunk--yet its fur is packed with a poison so lethal it can fell an elephant and just a few milligrams can kill a human.
DALLAS (SMU) - A new study suggests that the Texas Research Incentive Program (TRIP) has succeeded in boosting the amount of private donations to public universities, indicating that policymakers can effectively leverage public investment to spur private donations.
The authors of the analysis, published in the American Educational Research Journal, note that further questions warrant study - such as whether the TRIP model increases institutional inequity over time.
Astronomers using data from the ongoing VLA Sky Survey (VLASS) have found a number of distant galaxies with supermassive black holes at their cores that have launched powerful, radio-emitting jets of material within the past two decades or so. The scientists compared data from VLASS with data from an earlier survey that also used the National Science Foundation's Karl G. Jansky Very Large Array (VLA) to reach their conclusion.
Increasingly, artificial intelligence systems known as deep learning neural networks are used to inform decisions vital to human health and safety, such as in autonomous driving or medical diagnosis. These networks are good at recognizing patterns in large, complex datasets to aid in decision-making. But how do we know they're correct? Alexander Amini and his colleagues at MIT and Harvard University wanted to find out.
Imagine if robots could learn from watching demonstrations: you could show a domestic robot how to do routine chores or set a dinner table. In the workplace, you could train robots like new employees, showing them how to perform many duties. On the road, your self-driving car could learn how to drive safely by watching you drive around your neighborhood.
Houston - (Nov 18, 2020) - On behalf of Childhood Liver Disease Research Network (ChiLDReN), Texas Children's Hospital and Baylor College of Medicine researchers report that prolonged treatment with Maraxilibat resulted in clinically meaningful improvements in debilitating itching (pruritus) and related quality of life outcomes in children with Alagille syndrome. This syndrome is a rare genetic systemic disorder in which problems with bile flow can cause significant liver injury and potential liver failure necessitating liver transplantation.