Science X Dialog
Science X Dialog is where researchers can share news and information about their own published journal articles.
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Dialog / New semiconducting borophene paves the way for the lightest high-performance transistor
In the year 1808, French chemists Joseph-Louis Gay-Lussac and Louis-Jacques Thenard, and independently, English chemist Humphry Davy, discovered the fifth element of the periodic table—boron. In crystalline form, boron ...
Dialog / Researchers discover exploiting microbiome bacteria in patients with lung infections improves low oxygen levels
Newspaper headlines from the U.S. to the U.K. and most places in between highlight the surge in sick patients suffering from respiratory viruses. The so-called "tripledemic" of lung infections including respiratory synclinal ...
Dialog / Observations against the recent discovery of a new pair of salivary glands in humans
Human anatomy has been studied for centuries, and its intricacies are still not entirely understood. Discoveries, particularly microstructural details, keep adding to the known anatomy of the human body. However, discovery ...
Dialog / Hashing complements alignment-based methods for bacterial genome annotation
DNA sequencing has changed biology like nothing else since the origin of species theory. In particular, the way we investigate microbial life has fundamentally changed. Today, we are able to sequence DNA with unprecedented ...
Dialog / Using lasers to bond semiconductor electronics components
Today, lasers are well-established in daily life, even if it is sometimes hard to tell what and where they are. As an example, we can find them in CD/DVD readers or medical applications like cancer and eye surgery, being ...
Dialog / New hope for novel therapies has emerged from computational models
In the war between good and evil, I was there seeking to design powerful selfish strategies for investigating the defense mechanisms of cooperators. Surprisingly, the results serve a different domain of science. It gave me ...
Dialog / The world's largest quantum chemistry dataset to empower new materials design and drug discovery
Predicting the properties of an object is a most natural task for machine learning (ML) algorithms, and molecules or crystals are not an exception. Every drug discovery or materials design pipeline depends on the ability ...
Dialog / Unraveling electron transport dynamics in photosystem II under water deficit and heat stress in pearl millet
Heat and water deficit stresses tend to impede and restrict the efficiency of photosynthesis, chlorophyll fluorescence and maximum photochemical quantum yield in plants based on their characteristic ability to interfere with ...
Dialog / Rangewide analysis reveals climatic sensitivities and non-timber values of tall redwoods
Coastal redwood (Sequoia sempervirens) has a narrow and fragmented distribution in western North America. Extreme resistance to fire and fungi allows redwoods to live more than 2,000 years and become the tallest trees on ...
Dialog / Resolving 'Faraday's paradox': New experimental evidence on the influence of the test circuit
Unipolar induction is a specific form of induction that has caused much confusion among researchers and has been heavily debated in the literature, to the point that it has been deemed by some as paradoxical. After performing ...
Dialog / Researchers leverage new machine learning methods to learn from noisy labels for image classification
The rapid development of deep learning in recent years is largely due to the rapid increase in the scale of data. The availability of large amounts of data is revolutionary for model training by the deep learning community. ...
Dialog / Atom-economy and time-economy synthesis of diclofenac sodium in a desktop micro-chemical plant
In recent years, continuous flow chemistry has evolved into a powerful platform for molecular assembly that is making an impact on organic synthetic chemistry. Unlike conventional batch method, chemical transformations are ...