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Most Crucial thing during the COVID-19 crisis is to Keep your kitchen clean



As many of us adjust to being indoors a lot more than we would normally be comfortable with, the COVID-19 crisis has forced us to change how we view our spare time. While you might be finding it tough to stay busy during this unique period of time, there are many ways that you can do so. For example, spending a bit more time in the kitchen can be an excellent idea.

A bit of extra time in the kitchen using OVENTE kitchen appliances can make a lot of sense. But why? Why is the kitchen such a good place to be?

Enjoy some private BBQ time

With OVENTE, you can pick up all the tools that you need to enjoy a nice, refreshing BBQ with the family. You can pick up some quality kitchen appliances made for the outdoors, meaning that you and the loved ones can spend all day enjoying some brilliant BBQ food in the comfort of your own home.

All you need is a garden and some OVENTE kitchen appliances and you can get started.

Bake a cake with the kids

Now would be the best time possible to get the kids into the art of baking. Baking is great for helping them make their own creative treats. At the same time, though, your kids will enjoy baking a cake because it shows them just what goes into a cake.

Who knows? You could have some great fun and educate them on the reality of what they eat!

Learn some special family tricks

If you know that someone in your household has their culinary craft down to precision, then it might be a wise idea to tap into that. Spend some time with them and learn some of their special family tricks.

Before long, you can pick up some of those little special ingredients they use or cooking tips that could help you to turn your cooking into something far more unique and enjoyable afterward!

Get properly into coffee

While many of us just have a cup of the instant stuff in the morning, going down the route of getting really into coffee is a wise choice. You could pick up some Strix Technology electric kettles. These have boil dry protection, so you can make a cup of coffee and when it’s out of water it will automatically shut off. No more burnt out fuses because you misread how much water was left in your kettle.

Get creative with old recipes

A good way to enjoy your food in style at the moment is to get creative with some old school recipes. Take the time to look into some old recipes and you could find some really impressive stuff waiting for you. Try adding a modern touch to some old school recipes or try and recreate some old family favourite dishes in the way they would have been made before.

It’s tough to get right, but it’s not something you should worry about too much. All you need is some free time, some creativity with your recipes, and some OVENTE kitchen appliances. When paired with a quality OVENTE Electric kettle certified with Strix boil dry protection, you could be making the most of a very long period of lockdown. Who knows what culinary skills you’ll come out the other side of lockdown with?

Mark David is a writer best known for his science fiction, but over the course of his life he published more than sixty books of fiction and non-fiction, including children's books, poetry, short stories, essays, and young-adult fiction. He publishes news on related to the science.


Fascinating Bright Angel Rock Formation on Mars is Revealed by NASA’s Perseverance Rover



Scientists are interested in this location because of its distinctive light-colored rocks and possible clues about Mars’ wetter history. Neretva Vallis is a dried river channel that leads into Jezero Crater.

The rover’s difficult navigation across sand dunes and the remains of an old river on its way to this location demonstrated the commitment and accuracy needed for such missions.

After a difficult journey, the Perseverance rover arrived at Bright Angel on June 16, 2024. The location was given its name due to a remarkably pale rock protrusion that, in photographs captured from orbit, contrasted sharply with the Martian terrain.

Scientists were intrigued by its remarkable appearance and thought it might hold secrets about the planet’s hydrological and geological past. Perseverance had to traverse a difficult terrain made up of sand dunes and rocky areas on the way to Bright Angel, which put the rover’s capabilities and the mission team’s creativity to the test.

Because Bright Angel is situated at the edge of Neretva Vallis, an old river channel that formerly supplied water to Jezero Crater, the area around it is especially important. This link to an ancient water source creates fascinating questions regarding the origins of water on Mars.

Perseverance gave the mission team their first up-close looks at Bright Angel, indicating the possible significance of the site. High-resolution photos of the luminous, exposed rock were taken by the rover’s cameras, providing a window into the planet’s geological past.

Weeks of meticulous preparation and navigation culminated in Perseverance’s arrival at Bright Angel. To prevent hazards and guarantee the rover’s safe arrival, the Earth team painstakingly planned out its path. The rover’s effective navigation of the challenging terrain in spite of the obstacles showed the strength of its design and the competence of the mission planners. The expectation that Bright Angel will provide important insights about the origins of water on Mars and, consequently, the possibility that life ever existed on the planet, highlights the importance of reaching this location.

Perseverance started its extensive scientific examination as it arrived at Bright Angel. The PIXL (Planetary Instrument for X-ray Lithochemistry), one of the instruments in the rover’s instrument suite, was used to thoroughly examine the rock formations. Scientists may examine the makeup and structure of rocks by using the PIXL device to measure light that bounces back from the surface after X-rays are scanned. This procedure is crucial to comprehending the region’s geological past and establishing whether or not it was ever inhabited.

The brightly colored boulders at Bright Angel drew the team’s attention in particular because they contrasted sharply with the surrounding Martian landscape. These rocks might be older geological material that erosion has revealed, providing a possible window into a period of Mars’ surface water flow. Scientists are hoping to learn more about the climatic and environmental conditions that prevailed on Mars billions of years ago by examining these formations.

Although the examination at Bright Angel is still in its early phases, the first results seem encouraging. Given their unusual appearance and position, the rocks may hold important secrets about the planet’s past. Scientists are eager to see the data that will help them put together Mars’ wetter history as Perseverance continues to examine the spot. The findings reported here may have a significant impact on how we perceive Mars and its capacity to support life.

Importance of the Results

Crucial information about the geological past of Mars may be gleaned from the rock formations of Bright Angel. These rocks, according to some experts, are earlier material that has been revealed by water erosion that is no longer there. According to this theory, learning more about Bright Angel may provide insight into the planet’s earlier, wetter history.

At Bright Angel, scientists have made some fascinating discoveries, including “popcorn rocks.” The densely packed spheres and mineral veins in these rocks imply that water once existed on Mars. Water carries and deposits minerals, a process that occurs on Earth and Mars and gives rise to mineral veins. This discovery supports the theory that there was once a lot of water activity on Mars.

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AI is changing sea ice melting climate projections




AI is changing sea ice melting climate projections

The tremendous melting of sea ice at the poles is one of the most urgent problems facing planet as it warms up so quickly. These delicate ecosystems, whose survival depends so heavily on floating ice, have a difficult and uncertain future.

As a result, climate scientists are using AI more and more to transform our knowledge of this vital habitat and the actions that can be taken to preserve it.

Determining the precise date at which the Arctic will become ice-free is one of the most urgent problems that must be addressed in order to develop mitigation and preservation strategies. A step toward this, according to Princeton University research scientist William Gregory, is to lower the uncertainty in climate models to produce these kinds of forecasts.

“This study was inspired by the need to improve climate model predictions of sea ice at the polar regions, as well as increase our confidence in future sea ice projections,” said Gregory.

Arctic sea ice is a major factor in the acceleration of global climate change because it cools the planet overall by reflecting solar radiation back into space. But because of climate change brought on by our reliance on gas, oil, and coal, the polar regions are warming considerably faster than the rest of the world. When the sea is too warm for ice to form, more solar radiation is absorbed by the Earth’s surface, which warms the climate even more and reduces the amount of ice that forms.

Because of this, polar sea ice is extremely important even outside of the poles. The Arctic Ocean will probably eventually have no sea ice in the summer, which will intensify global warming’s effects on the rest of the world.

AI coming to the rescue

Predictions of the atmosphere, land, sea ice, and ocean are consistently biased as a result of errors in climate models, such as missing physics and numerical approximations. Gregory and his colleagues decided to use a kind of deep learning algorithm known as a convolutional neural network for the first time in order to get around these inherent problems with sea ice models.

“We often need to approximate certain physical laws in order to save on [computational] time,” wrote the team in their study. “Therefore, we often use a process called data assimilation to combine our climate model predictions together with observations, to produce our ‘best guess’ of the climate system. The difference between best-guess-models and original predictions provides clues as to how wrong our original climate model is.”

The team aims to show a computer algorithm  “lots of examples of sea ice, atmosphere and ocean climate model predictions, and see if it can learn its own inherent sea ice errors” according to their study published in JAMES.

Gregory explained that the neural network “can predict how wrong the climate model’s sea ice conditions are, without actually needing to see any sea ice observations,” which means that once it learns the features of the observed sea ice, it can correct the model on its own.

They achieved this by using climate model-simulated variables such as sea ice velocity, salinity, and ocean temperature. In the model, each of these factors adds to the overall representation of the Earth’s climate.

“Model state variables are simply physical fields which are represented by the climate model,” explained Gregory. “For example, sea-surface temperature is a model state variable and corresponds to the temperature in the top two meters of the ocean.

“We initially selected state variables based on those which we thought a-priori are likely to have an impact on sea ice conditions within the model. We then confirmed which state variables were important by evaluating their impact on the prediction skill of the [neural network],” explained Gregory.

In this instance, the most important input variables were found to be surface temperature and sea ice concentration—much fewer than what most climate models require to replicate sea ice. In order to fix the model prediction errors, the team then trained the neural network on decades’ worth of observed sea ice maps.

An “increment” is an additional value that indicates how much the neural network was able to enhance the model simulation. It is the difference between the initial prediction made by the model without AI and the corrected model state.

A revolution in progress

Though it is still in its early stages, artificial intelligence is becoming more and more used in climate science. According to Gregory, he and his colleagues are currently investigating whether their neural network can be applied to scenarios other than sea ice.

“The results show that it is possible to use deep learning models to predict the systematic [model biases] from data assimilation increments, and […] reduce sea ice bias and improve model simulations,” said Feiyu Lu, project scientist at UCAR and NOAA/GFDL, and involved in the same project that funded this study.

“Since this is a very new area of active research, there are definitely some limitations, which also makes it exciting,” Lu added. “It will be interesting and challenging to figure out how to apply such deep learning models in the full climate models for climate predictions.”  

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For a brief moment, a 5G satellite shines brightest in the night sky




An as of late sent off 5G satellite occasionally turns into the most splendid article in the night sky, disturbing cosmologists who figure it in some cases becomes many times more brilliant than the ongoing suggestions.

Stargazers are progressively concerned human-created space equipment can obstruct their exploration endeavors. In Spring, research showed the quantity of Hubble pictures photobombed in this manner almost multiplied from the 2002-2005 period to the 2018-2021 time span, for instance.

Research in Nature this week shows that the BlueWalker 3 satellite — model unit intended to convey 4 and 5G telephone signals — had become quite possibly of the most brilliant item in the night sky and multiple times surpass suggested limits many times over.

The exploration depended on a worldwide mission which depended on perceptions from both novice and expert perceptions made in Chile, the US, Mexico, New Zealand, the Netherlands and Morocco.

BlueWalker 3 has an opening of 693 square feet (64m2) – about the size of a one-room condo – to interface with cellphones through 3GPP-standard frequencies. The size of the exhibit makes a huge surface region which reflects daylight. When it was completely conveyed, BlueWalker 3 became as splendid as Procyon and Achernar, the most brilliant stars in the heavenly bodies of Canis Minor and Eridanus, separately.

The examination – drove by Sangeetha Nandakumar and Jeremy Tregloan-Reed, both of Chile’s Universidad de Atacama, and Siegfried Eggl of the College of Illinois – likewise took a gander at the effect of the impacts of Send off Vehicle Connector (LVA), the spaceflight holder which frames a dark chamber.

The review found the LVA arrived at an evident visual size of multiple times more splendid than the ongoing Worldwide Cosmic Association suggestion of greatness 7 after it discarded the year before.

“The normal form out of groups of stars with a huge number of new, brilliant items will make dynamic satellite following and evasion methodologies a need for ground-based telescopes,” the paper said.

“Notwithstanding numerous endeavors by the airplane business, strategy creators, cosmologists and the local area on the loose to relieve the effect of these satellites on ground-based stargazing, with individual models, for example, the Starlink Darksat and VisorSat moderation plans and Bragg coatings on Starlink Gen2 satellites, the pattern towards the send off of progressively bigger and more splendid satellites keeps on developing.

“Influence appraisals for satellite administrators before send off could assist with guaranteeing that the effect of their satellites on the space and Earth conditions is fundamentally assessed. We empower the execution of such investigations as a component of sending off approval processes,” the exploration researchers said.

Last month, Vodafone professed to have made the world’s most memorable space-based 5G call put utilizing an unmodified handset with the guide of the AST SpaceMobile-worked BlueWalker 3 satellite.

Vodafone said the 5G call was made on September 8 from Maui, Hawaii, to a Vodafone engineer in Madrid, Spain, from an unmodified Samsung World S22 cell phone, utilizing the WhatsApp voice and informing application.

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