Carving the turkey for Thanksgiving is a true honor for any man, and should be taken extremely seriously. Assuming you have no backup turkey, you have one opportunity to slice and carve it just perfectly, or your reputation with your family with be tainted forever. What better way to ensure you carve your Thanksgiving turkey properly and in the most manly way possible than with a chainsaw carving tool?

Turkey carving chainsaw.

The electric chainsaw turkey carving tool looks and acts like a real chainsaw, except it won’t actually cut wood, and it’s a much smaller version of its larger counterpart. Though a chain doesn’t wrap around the blade and spin like a real chainsaw, a small electric knife is on the bottom of the blade to make it look like it’s working like a real chainsaw.

Turkey carving chainsaw.

Made with stainless steel cutting blades along with an ABS plastic body, the chainsaw inspired turkey carving tool is not only great for cutting turkeys and other birds, but is also useful for cutting melons, pineapples, potatoes, breads, and more.

Chainsaw knife.

Turkey carving chainsaw.

Turkey carving chainsaw.

Turkey carving chainsaw.

Turkey carving chainsaw.

If you feel like this is something you would want to spend money on, you can get this weird kitchen tool on Amazon.

The post This Miniature Chainsaw For Carving Turkeys Will Take Thanksgiving To The Next Level first appeared on .

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Reuters has apologized for its poor choice of photo to illustrate a story about a monkey brain study that was deemed offensive and racist in China.

On Thursday, Reuters published a story titled “Monkey-brain study with link to China’s military roils top European university.” The report was about a Chinese professor studying how a monkey’s brain functions at extreme altitude.

The study was done with the help of Beijing’s People’s Liberation Army (PLA) with the aim of developing new drugs to prevent brain damage, Reuters said.

The news agency promoted the story on Twitter with a photo of smiling Chinese soldiers in an oxygen chamber.

The tweet prompted outrage in China, with people calling it racist on social media. Reuters responded on Friday night by deleting the original tweet because the photo of Chinese soldiers was unrelated to the story and “could have been read as offensive.”

“As soon as we became aware of our mistake, the tweet was deleted and corrected, and we apologize for the offense it caused,” Reuters said in a statement to the Global Times, China’s state-run newspaper.

It was not the first time the leading Western news agency had run into trouble in China. In July, the Chinese Embassy in Sri Lanka criticized Reuters for using a photo of Chinese weightlifter and Tokyo 2020 Olympics gold medalist Hou Zhihui that the country’s state media described as “ugly” and “disrespectful to the athlete.”

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Reuters has apologized for its poor choice of photo to illustrate a story about a monkey brain study that was deemed offensive and racist in China.

On Thursday, Reuters published a story titled “Monkey-brain study with link to China’s military roils top European university.” The report was about a Chinese professor studying how a monkey’s brain functions at extreme altitude.

The study was done with the help of Beijing’s People’s Liberation Army (PLA) with the aim of developing new drugs to prevent brain damage, Reuters said.

The news agency promoted the story on Twitter with a photo of smiling Chinese soldiers in an oxygen chamber.

The tweet prompted outrage in China, with people calling it racist on social media. Reuters responded on Friday night by deleting the original tweet because the photo of Chinese soldiers was unrelated to the story and “could have been read as offensive.”

“As soon as we became aware of our mistake, the tweet was deleted and corrected, and we apologize for the offense it caused,” Reuters said in a statement to the Global Times, China’s state-run newspaper.

It was not the first time the leading Western news agency had run into trouble in China. In July, the Chinese Embassy in Sri Lanka criticized Reuters for using a photo of Chinese weightlifter and Tokyo 2020 Olympics gold medalist Hou Zhihui that the country’s state media described as “ugly” and “disrespectful to the athlete.”

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Covid-19 variants keep emerging in different parts of the world, causing experts to ask how long the pandemic will last, and how effective the current methods of protection really are.

Since the pandemic started in 2019, people have referred to the disease which has paralyzed the world simply as ‘coronavirus’. Now, in 2021, when we talk about it, we mean not just the original variant, but also its numerous mutations. 

Read more

© Getty Images / sasacvetkovic33
Drastic drop in Covid vaccine effectiveness – study

In May, the WHO decided to label the key variants with Greek letters. Since then, the Delta variant has been proclaimed the predominant strain across the world, and now we have titles that look like codes to detail the differences between variants. Last month, the UK was put on high alert over a fast-spreading Delta AY.4.2 variant. This week, Norway reported finding one more version of the Delta strain – AY. 63. The country’s experts suggest it’s not more dangerous than the Delta mutation itself. Meanwhile, another Covid variant, discovered in France (B.1.640), brought the researchers an unpleasant surprise: they said they’d never seen mutations like it. 

Professor David Dockrell, from the Center for Inflammation Research of the University of Edinburgh, described to RT the reasons for the constant mutation of the coronavirus. “The areas in the virus that are most likely to change are those that come into contact with what we call ‘selective pressures’ – or factors that make them need to change,” he explains. “So, a version of the virus which mutates and changes to give it a selective advantage to escape from the immune system is more likely to prosper and become a dominant strain.” 

That’s how it works: The part of the virus many of the immune responses (or antibodies, T-cells etc.) are responding to is called the spike protein (or the S-protein). So, the virus tries to change it in order to survive. 

“We know that a variety of different viruses are able to mutate and change when exposed to the selective pressure of the immune system, whether it would be the human immune system or other species in which these viruses have evolved,” Prof. Dockrell says. “And of course, we’ve seen it most clearly with HIV, which is particularly good at changing and evolving. It does something called ‘reverse transcription’ – it copies material in the reversed direction from DNA to RNA.” 

Covid is still seemingly running faster than humanity’s efforts to curb it, but Prof. Dockrell has some good news. “The coronavirus – and viruses like it – are not as able to make these changes. They are going to do it to some extent, but they are not going to be as successful as retroviruses and HIV.” 

And the other major thing to say: When the viruses make changes, there’s always what we call ‘a fitness cost’. Many of the potential changes that the virus could make will actually not favor its survival. So there are only a certain number, potentially, of changes that the virus can make, before it starts affecting its fitness. 

Now, unfortunately, we are still in a phase where Covid19 can continue to evolve and change. It’s not time to panic, though, because across the world various ways to adapt the current anti-Covid strategies are already in place. First of all, people should keep getting vaccines – maybe receiving slightly altered booster doses, Prof. Dockrell suggests, “in a way, that we, after all, have to do with influenza, by providing a seasonal influenza vaccine and changing it every year.” 

Read more

RT
WHO sounds alarm over looming Covid-19 catastrophe in Europe

“And maybe we have to keep changing some of the treatments like these new monoclonal antibodies against the virus, because they also may be limited by the emergence of a mutation of the virus evolving the S-protein,” he adds. 

Sounds promising – but won’t it become a never-ending race against constantly emerging mutations? 

Hopefully not. According to Prof. Dockrell, there are parts of viruses that scientists call ‘conserved areas’. With time, vaccines and monoclonal antibodies will target these areas, which the virus finds very hard to change. “Clearly, the direction of travel is to develop either vaccine responses that affect more different kinds of virus, or these ‘monoclonal antibodies’ that we could use to prevent or treat infection, that they will target more conserved areas and therefore will be less limited by the ability of these virus to evolve and change,” he concludes.

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Covid-19 variants keep emerging in different parts of the world, causing experts to ask how long the pandemic will last, and how effective the current methods of protection really are.

Since the pandemic started in 2019, people have referred to the disease which has paralyzed the world simply as ‘coronavirus’. Now, in 2021, when we talk about it, we mean not just the original variant, but also its numerous mutations. 

Read more

© Getty Images / sasacvetkovic33
Drastic drop in Covid vaccine effectiveness – study

In May, the WHO decided to label the key variants with Greek letters. Since then, the Delta variant has been proclaimed the predominant strain across the world, and now we have titles that look like codes to detail the differences between variants. Last month, the UK was put on high alert over a fast-spreading Delta AY.4.2 variant. This week, Norway reported finding one more version of the Delta strain – AY. 63. The country’s experts suggest it’s not more dangerous than the Delta mutation itself. Meanwhile, another Covid variant, discovered in France (B.1.640), brought the researchers an unpleasant surprise: they said they’d never seen mutations like it. 

Professor David Dockrell, from the Center for Inflammation Research of the University of Edinburgh, described to RT the reasons for the constant mutation of the coronavirus. “The areas in the virus that are most likely to change are those that come into contact with what we call ‘selective pressures’ – or factors that make them need to change,” he explains. “So, a version of the virus which mutates and changes to give it a selective advantage to escape from the immune system is more likely to prosper and become a dominant strain.” 

That’s how it works: The part of the virus many of the immune responses (or antibodies, T-cells etc.) are responding to is called the spike protein (or the S-protein). So, the virus tries to change it in order to survive. 

“We know that a variety of different viruses are able to mutate and change when exposed to the selective pressure of the immune system, whether it would be the human immune system or other species in which these viruses have evolved,” Prof. Dockrell says. “And of course, we’ve seen it most clearly with HIV, which is particularly good at changing and evolving. It does something called ‘reverse transcription’ – it copies material in the reversed direction from DNA to RNA.” 

Covid is still seemingly running faster than humanity’s efforts to curb it, but Prof. Dockrell has some good news. “The coronavirus – and viruses like it – are not as able to make these changes. They are going to do it to some extent, but they are not going to be as successful as retroviruses and HIV.” 

And the other major thing to say: When the viruses make changes, there’s always what we call ‘a fitness cost’. Many of the potential changes that the virus could make will actually not favor its survival. So there are only a certain number, potentially, of changes that the virus can make, before it starts affecting its fitness. 

Now, unfortunately, we are still in a phase where Covid19 can continue to evolve and change. It’s not time to panic, though, because across the world various ways to adapt the current anti-Covid strategies are already in place. First of all, people should keep getting vaccines – maybe receiving slightly altered booster doses, Prof. Dockrell suggests, “in a way, that we, after all, have to do with influenza, by providing a seasonal influenza vaccine and changing it every year.” 

Read more

RT
WHO sounds alarm over looming Covid-19 catastrophe in Europe

“And maybe we have to keep changing some of the treatments like these new monoclonal antibodies against the virus, because they also may be limited by the emergence of a mutation of the virus evolving the S-protein,” he adds. 

Sounds promising – but won’t it become a never-ending race against constantly emerging mutations? 

Hopefully not. According to Prof. Dockrell, there are parts of viruses that scientists call ‘conserved areas’. With time, vaccines and monoclonal antibodies will target these areas, which the virus finds very hard to change. “Clearly, the direction of travel is to develop either vaccine responses that affect more different kinds of virus, or these ‘monoclonal antibodies’ that we could use to prevent or treat infection, that they will target more conserved areas and therefore will be less limited by the ability of these virus to evolve and change,” he concludes.

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Any apology for Nazism is unacceptable, Colombia’s president Ivan Duque has insisted, after photos of police academy cadets dressed up in Third Reich uniforms were uploaded online, causing outrage.

“Any apology for Nazism is unacceptable,” Duque stated in a tweet on Friday. The president said he condemned any references to those who were “responsible for the Jewish Holocaust that claimed the lives of more than 6 million people,” adding that “anti-Semitism has no place in the world.”

Duque had earlier made demands for “heads to roll” at an academy that “promotes such criminal practices,” with its director, Lieutenant Colonel Jorge Ferney Bayona Sanchez, already having been sacked.

Colombia’s defense ministry, which oversees the country’s police, also insisted in a statement that that its training programs “don’t envisage in any way an activity such as the one which took place” at the academy.

Read more

Nazi uniforms found inside the house of a man suspected of raping a 12-year-old boy at the Vargem Grande neighbourhood of Rio de Janeiro. © AFP / Rio de Janeiro Civil Police
Brazilian police discover $3.5mn trove of Nazi memorabilia at home of ‘insane psychopath’ suspected of child rape

The images of police cadets in Nazi uniforms caused anger and bewilderment among internet users.

The German and Israeli embassies in the country reacted by issuing a joint statement, in which they expressed “total rejection of any form of apology or demonstration of Nazism.” The US embassy in Bogota also said that it was “shocked and deeply disappointed” by the development.

The controversial images, in which aspiring officers were caught sporting black SS outfits with red swastika armbands and grey Wehrmacht uniforms from the World War II era, weren’t revealed in some bombshell media report, but were actually published on the official Twitter account of the Colombian police this Thursday.

The photos were taken as part of a “cultural exchange” event at the police academy in the city of Tulua, aimed at commemorating Germany and “strengthening the knowledge of our police students.” The cosplay was apparently intended to illustrate the history of German law enforcement, with more cadets pictured wearing more modern versions of the country’s police uniforms in the pictures.

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Any apology for Nazism is unacceptable, Colombia’s president Ivan Duque has insisted, after photos of police academy cadets dressed up in Third Reich uniforms were uploaded online, causing outrage.

“Any apology for Nazism is unacceptable,” Duque stated in a tweet on Friday. The president said he condemned any references to those who were “responsible for the Jewish Holocaust that claimed the lives of more than 6 million people,” adding that “anti-Semitism has no place in the world.”

Duque had earlier made demands for “heads to roll” at an academy that “promotes such criminal practices,” with its director, Lieutenant Colonel Jorge Ferney Bayona Sanchez, already having been sacked.

Colombia’s defense ministry, which oversees the country’s police, also insisted in a statement that that its training programs “don’t envisage in any way an activity such as the one which took place” at the academy.

Read more

Nazi uniforms found inside the house of a man suspected of raping a 12-year-old boy at the Vargem Grande neighbourhood of Rio de Janeiro. © AFP / Rio de Janeiro Civil Police
Brazilian police discover $3.5mn trove of Nazi memorabilia at home of ‘insane psychopath’ suspected of child rape

The images of police cadets in Nazi uniforms caused anger and bewilderment among internet users.

The German and Israeli embassies in the country reacted by issuing a joint statement, in which they expressed “total rejection of any form of apology or demonstration of Nazism.” The US embassy in Bogota also said that it was “shocked and deeply disappointed” by the development.

The controversial images, in which aspiring officers were caught sporting black SS outfits with red swastika armbands and grey Wehrmacht uniforms from the World War II era, weren’t revealed in some bombshell media report, but were actually published on the official Twitter account of the Colombian police this Thursday.

The photos were taken as part of a “cultural exchange” event at the police academy in the city of Tulua, aimed at commemorating Germany and “strengthening the knowledge of our police students.” The cosplay was apparently intended to illustrate the history of German law enforcement, with more cadets pictured wearing more modern versions of the country’s police uniforms in the pictures.

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Scientists have used artificial intelligence to “predict” formulas for new designer drugs, with the stated goal of helping to improve their regulation. The AI generated formulas for nearly nine million potential new drugs.

Researchers with the University of British Columbia (UBC) used a deep neural net for the job, teaching it to make up chemical structures of potential new drugs. According to their study, released this week, the computer intelligence fared better at the task than the scientists had expected.

The research team used a database of known designer drugs – synthetic psychoactive substances – to train the AI on their structures. The market for designer drugs is ever-changing, since their manufacturers are constantly tweaking their formulas to circumvent restrictions and produce new “legal” substances, while cracking their structure takes months for law enforcement agencies, the researchers said.

Read more

FILE PHOTO: A man living on the streets displays what he says is the synthetic drug fentanyl, in the Tenderloin section of San Francisco, California, February 27, 2020 © Reuters / Shannon Stapleton
Drug overdose deaths in US hit all-time record

“The vast majority of these designer drugs have never been tested in humans and are completely unregulated. They are a major public-health concern to emergency departments across the world,” one of the researchers, UBC medical student Dr. Michael Skinnider has said.

After its training, the AI was able to generate some 8.9 million potential designer drugs. Afterwards, researchers ran a data sheet of some 196 new drugs, which had emerged in real life after the model was trained, and found that more than 90% of these have been already predicted by the computer.

“The fact that we can predict what designer drugs are likely to emerge on the market before they actually appear is a bit like the 2002 sci-fi movie, Minority Report, where foreknowledge about criminal activities about to take place helped significantly reduce crime in a future world,” senior author Dr. David Wishart, a professor of computing science at the University of Alberta, has said.

Identifying completely unknown substances remains an issue for the AI, the research team has noted, but they hope it might potentially help with that task, since the computer was also able to predict which formulas of designer drugs were more likely to be created and hit the market. The model “ranked the correct chemical structure of an unidentified designer drug among the top 10 candidates 72 percent of the time,” while throwing in spectrometry analysis, which is an easily obtained measurement, bumped the accuracy to some 86%.

“It was shocking to us that the model performed this well, because elucidating entire chemical structures from just an accurate mass measurement is generally thought to be an unsolvable problem,” Skinnider stated.

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Scientists have used artificial intelligence to “predict” formulas for new designer drugs, with the stated goal of helping to improve their regulation. The AI generated formulas for nearly nine million potential new drugs.

Researchers with the University of British Columbia (UBC) used a deep neural net for the job, teaching it to make up chemical structures of potential new drugs. According to their study, released this week, the computer intelligence fared better at the task than the scientists had expected.

The research team used a database of known designer drugs – synthetic psychoactive substances – to train the AI on their structures. The market for designer drugs is ever-changing, since their manufacturers are constantly tweaking their formulas to circumvent restrictions and produce new “legal” substances, while cracking their structure takes months for law enforcement agencies, the researchers said.

Read more

FILE PHOTO: A man living on the streets displays what he says is the synthetic drug fentanyl, in the Tenderloin section of San Francisco, California, February 27, 2020 © Reuters / Shannon Stapleton
Drug overdose deaths in US hit all-time record

“The vast majority of these designer drugs have never been tested in humans and are completely unregulated. They are a major public-health concern to emergency departments across the world,” one of the researchers, UBC medical student Dr. Michael Skinnider has said.

After its training, the AI was able to generate some 8.9 million potential designer drugs. Afterwards, researchers ran a data sheet of some 196 new drugs, which had emerged in real life after the model was trained, and found that more than 90% of these have been already predicted by the computer.

“The fact that we can predict what designer drugs are likely to emerge on the market before they actually appear is a bit like the 2002 sci-fi movie, Minority Report, where foreknowledge about criminal activities about to take place helped significantly reduce crime in a future world,” senior author Dr. David Wishart, a professor of computing science at the University of Alberta, has said.

Identifying completely unknown substances remains an issue for the AI, the research team has noted, but they hope it might potentially help with that task, since the computer was also able to predict which formulas of designer drugs were more likely to be created and hit the market. The model “ranked the correct chemical structure of an unidentified designer drug among the top 10 candidates 72 percent of the time,” while throwing in spectrometry analysis, which is an easily obtained measurement, bumped the accuracy to some 86%.

“It was shocking to us that the model performed this well, because elucidating entire chemical structures from just an accurate mass measurement is generally thought to be an unsolvable problem,” Skinnider stated.

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