A Multidisciplinary journal @WileyVCH, leading research in Applications from across all areas of Natural Sciences, Life Sciences, Engineering and more.
The October issue of @Appl_Research@WileyVCH is online!
The cover image features how Silk based Hybrid-Antioxidants provide long lasting antiradical protection!
Read the article 👉https://t.co/h6eF8LgSLd
Full access issue here⚡️https://t.co/AXO35GJSkz
Dielectric Properties of Pristine and Green-Synthesized Hematite Nanomaterials Vis-A-Vis Their Dependence on Porosity and Particle Size (Ashis Bhattacharjee and co-workers) • https://t.co/hujxdQ3oOL
Ring around the galaxy… Here’s Webb’s stunning new mid-infrared image of M104.
This bright core of the galaxy is dim in this view, revealing a smooth inner disk as well as details of how the clumpy gas in the outer ring is distributed. https://t.co/wQSE9xGTXX
Accelerating #DrugDiscovery With High-Throughput Crystallographic Fragment Screening and Structural Enablement (Frank von Delft and co-workers) https://t.co/Qe7XkqdUhk
How Two-Dimensional Heterocovariance Spectroscopy and Data Fusion Level out the Inadequacies of Compact Spectrometers (Martin Jaeger and co-workers) https://t.co/sdO4mXPmpL
🛎️ It's quiz time! This dramatic image of Messier 106 🌌 was the subject of our Picture of the Month in August. The galaxy has a remarkable feature – two ‘anomalous’ extra arms that cannot be seen in visible light!
Design, Synthesis, and Biological Evaluation of Novel Heterocyclic Derivatives of 2,4-Thiazolidine Dione as Anti-Cancer Agents (Jayaprakash Kanijam Raghupathi and co-workers) https://t.co/y0djp18WJr
The Role of Lactic Fermentation in Ensuring the Safety and Extending the Shelf Life of African Indigenous Vegetables and Its Economic Potential (Irakoze Marie Lys) https://t.co/NHhdeWrhty
A journey of 1.8 billion miles is about to begin.
All about NASA's #EuropaClipper mission to explore Jupiter's intriguing moon Europa: https://t.co/KX1yfEbiNu
Launch is slated for Monday, Oct. 14. Here's how to watch: https://t.co/x4XNEuvd7U
🌎 Farewell, Earth! 👋
Last week, after we successfully launched our Hera mission, its instruments were switched on for the first time and the asteroid deck was pointed back towards our planet.
This allowed Hera to capture the first images of Earth and the Moon from a distance of more than one million km!
🔗 https://t.co/Xh9rmmA47A
The HZB F2X-Facility---An Efficient Crystallographic Fragment Screening Platform (Manfred S. Weiss and co-workers) @HzbMxde @HZB_BESSY https://t.co/dJw6xXa7mJ
The 2024 #NobelPrize laureates in physics used tools from physics to construct methods that helped lay the foundation for today’s powerful machine learning.
John Hopfield created a structure that can store and reconstruct information. Geoffrey Hinton invented a method that can independently discover properties in data and which has become important for the large artificial neural networks now in use.
Although computers cannot think, machines can now mimic functions such as memory and learning. This year’s physics laureates have helped make this possible. Using fundamental concepts and methods from physics, they have developed technologies that use structures in networks to process information.
The 2024 #NobelPrize in Physiology or Medicine focuses on the discovery of a vital regulatory mechanism used in cells to control gene activity. Genetic information flows from DNA to messenger RNA (mRNA), via a process called transcription, and then on to the cellular machinery for protein production. There, mRNAs are translated so that proteins are made according to the genetic instructions stored in DNA. Since the mid-20th century, several of the most fundamental scientific discoveries have explained how these processes work.
In 1993, this year's Nobel Prize laureates published unexpected findings describing a new level of gene regulation, which turned out to be highly significant and conserved throughout evolution. They discovered microRNA, a new class of tiny RNA molecules that play a crucial role in gene regulation.
Read more: https://t.co/8RwUplwYQA
BREAKING NEWS
The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”