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Evolution, climate change still being rejected by a lot of Americans

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Evolution rejected by many Americans

Do you believe in evolution? Do you think climate change comes as a direct result of human activity? What about GMOs, are they safe to eat? A recent study reveals that American citizens still have very different views when it comes to these issues, but more importantly, their views are in opposition to those of scientists a lot of the time. The study was realized by the Pew Research Center in collaboration with the American Association for the Advancement of Science and was based on two surveys, one aimed at the general public while the other was targeted at members of the AAAS. So, curious about what percentage of Americans believe in evolution? Well, let’s see.

The survey has found that about 65% of US citizens now believe that humans have gradually evolved over time while 98% of AAAS scientists are also of this opinion. However, only about 35% of Americans seem to believe that evolution occurred naturally, just like Charles Darwin suggested back in the 19th century. Interestingly enough, quite a few members of the public (about 24%) believe that human evolution was actually guided by a divine being. Even more interesting is that only about 31% of the public seems to think that we did not evolve at all, but that we were created in this exact form. The public was also asked if they think that scientists generally agree that humans are the result of evolution and 66% of them said that they do.

Meanwhile, people are even more divided when it comes to the issue of climate change, with only about 50% of the public agreeing that this problem comes as a direct result of human activity. On the other hand, almost all the AAAS scientists (87%) who took part in the survey agree that our actions have a negative impact on the environment and are slowly causing the climate to change. That said, the biggest gap between the US public and the scientists seems to be on the issue of GMOs, specifically whether or not they are safe to eat. Unsurprisingly, most scientists (around 88%) are saying that genetically-modified foods are ok to eat while relatively few members of the general public (37%) seem to agree with them.

A number of other important issues were also discussed, including mandatory vaccines for children, animal research, offshore drilling, the space station, and many more. You can read more about the results of this poll on the Pew Research Center website.

Although George has many hobbies, he likes nothing more than to play around with cameras and other photography equipment.

Apps

Now WhatsApp users can log into two accounts simultaneously

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WhatsApp launched dual-account support today. You can switch between accounts in WhatsApp.

Mark Zuckerberg announced the feature on Facebook and said it would soon be available.

People used to need two phones for two WhatsApp accounts. The company now allows two accounts on one phone. App cloning lets users use multiple WhatsApp instances on Xiaomi and Oppo phones.

“Helpful for switching between accounts – such as your work and personal – now you no longer need to log out each time, carry two phones or worry about messaging from the wrong place,” the company wrote in a blog post.

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Users can add accounts under Settings > Add Account. Your second SIM or multi-SIM phone is needed for setup. Account-specific notifications and privacy settings are available, the company said.

WhatsApp discouraged fake apps to prevent fraud.

WhatsApp added Android passkey support this week, enabling access without SMS-based two-factor authentication.

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Biology

The First 3D-Printed Vegan Salmon Is In Stores

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Revo Foods’ “THE FILET – Inspired By Salmon” salmon fillet may be the first 3D-printed food to hit store shelves. said that firm CEO Robin Simsa remarked, “With the milestone of industrial-scale 3D food printing, we are entering a creative food revolution, an era where food is being crafted exactly according to customer needs.”

Mycoprotein from filamentous fungi is used to make the salmon alternative and other meat substitutes. Vitamins and omega-3 fatty acids are in the product, like in animals. Is high in protein, at 9.5 grams per 100 grams, although less than conventional salmon.

Revo Foods and Mycorena developed 3D-printable mycoprotein. Years of research have led to laser-cooked cheesecakes and stacked lab-grown meats.

One reason for this push is because printed food alternatives may make food production more sustainable, which worries the fishing sector. Overfishing reduces fish populations in 34% of worldwide fish stocks.

Over 25% of worldwide greenhouse gas emissions come from food production, with 31% from livestock and fish farms and 18% from supply chain components including processing and shipping. According to Revo Foods’ website, vegan salmon fillet production consumes 77 to 86% less carbon dioxide and 95% less freshwater than conventional salmon harvesting and processing.

The salmon alternative’s sales potential is unknown. In order to succeed, Revo Foods believes that such goods must “recreate an authentic taste that appeals to the flexitarian market.”

The commercial distribution of 3D-printed food could change food production.

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Artificial Intelligence

Open-source Microsoft Novel protein-generating AI EvoDiff

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All diseases are based on proteins, natural molecules that perform vital cellular functions. Characterizing proteins can reveal disease mechanisms and ways to slow or reverse them, while creating proteins can lead to new drug classes.

The lab’s protein design process is computationally and human resource-intensive. It involves creating a protein structure that could perform a specific function in the body and then finding a protein sequence that could “fold” into that structure. To function, proteins must fold correctly into three-dimensional shapes.

Not everything has to be complicated.

Microsoft introduced EvoDiff, a general-purpose framework that generates “high-fidelity,” “diverse” proteins from protein sequences, this week. Unlike other protein-generating frameworks, EvoDiff doesn’t need target protein structure, eliminating the most laborious step.

Microsoft senior researcher Kevin Yang says EvoDiff, which is open source, could be used to create enzymes for new therapeutics, drug delivery, and industrial chemical reactions.

Yang, one of EvoDiff’s co-creators, told n an email interview that the platform will advance protein engineering beyond structure-function to sequence-first design. EvoDiff shows that ‘protein sequence is all you need’ to controllably design new proteins.

A 640-million-parameter model trained on data from all protein species and functional classes underpins EvoDiff. “Parameters” are the parts of an AI model learned from training data that define its skill at a problem, in this case protein generation. The model was trained using OpenFold sequence alignment data and UniRef50, a subset of UniProt, the UniProt consortium’s protein sequence and functional information database.

Modern image-generating models like Stable Diffusion and DALL-E 2 are diffusion models like EvoDiff. EvoDiff slowly subtracts noise from a protein made almost entirely of noise to move it closer to a protein sequence.

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Beyond image generation, diffusion models are being used to design novel proteins like EvoDiff, create music, and synthesize speech.

“If there’s one thing to take away [from EvoDiff], I think it’s this idea that we can — and should — do protein generation over sequence because of the generality, scale, and modularity we can achieve,” Microsoft senior researcher Ava Amini, another co-contributor, said via email. “Our diffusion framework lets us do that and control how we design these proteins to meet functional goals.”

EvoDiff can create new proteins and fill protein design “gaps,” as Amini noted. A protein amino acid sequence that meets criteria can be generated by the model from a part that binds to another protein.

EvoDiff can synthesize “disordered proteins” that don’t fold into a three-dimensional structure because it designs proteins in “sequence space” rather than structure. Disordered proteins enhance or decrease protein activity in biology and disease, like normal proteins.

EvoDiff research isn’t peer-reviewed yet. Microsoft data scientist Sarah Alamdari says the framework needs “a lot more scaling work” before it can be used commercially.

“This is just a 640-million-parameter model, and we may see improved generation quality if we scale up to billions,” Alamdari emailed. WeAI emonstrated some coarse-grained strategies, but to achieve even finer control, we would want to condition EvoDiff on text, chemical information, or other ways to specify the desired function.”

Next, the EvoDiff team will test the model’s lab-generated proteins for viability. Those who are will start work on the next framework.

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