Libyan military commander Khalifa Haftar is set to challenge Gaddafi’s son for the top job, announcing his presidential bid. The election will take place on December 24.
“I declare my candidacy for the presidential election, not because I am chasing power but because I want to lead our people towards glory, progress and prosperity,” the de facto leader of Eastern Libya said in a televised speech.
Haftar added that the election is the only way out of the severe crisis the country has been plunged into.
The announcement was expected; in September, Haftar announced that he was temporarily stepping down as head of the force known as the Libyan National Army, fulfilling the requirement for presidential hopefuls to suspend public work three months before an election.
Haftar will run against the son of former leader Muammar Gaddafi, Saif al-Islam Gaddafi, who represents the Popular Front for the Liberation of Libya.
Haftar’s presidential bid is likely to anger many who consider him a war criminal responsible for the indiscriminate killing of civilians during his military campaign. A number of civil lawsuits have been filed against him in a US federal court for alleged war crimes. Haftar has both US and Libyan citizenship, and owns property in Virginia.
Following years of civil war and political chaos after the NATO-backed intervention that saw Muammar Gaddafi deposed and brutally murdered, the upcoming election is widely viewed as an opportunity for political settlement and the long-awaited unification of the country, divided now between Haftar’s forces and the Tripoli-based Government of National Accord. However, there is still no consensus on the legal grounds for the election, which could become an obstacle for the peace process.
Scientists have used an AI tool to identify which animals are most likely to contract and spread mutated versions of Covid-19. The model highlighted both pets and wild animals as likely reservoirs for the virus.
Using information about their habitats and various biological traits, researchers at the Cary Institute of Ecosystem Studies in New York developed the machine learning tool to figure out which animals had the particular ACE2 protein that the coronavirus was most likely to latch onto.
Out of 5,400 tested, the scientists narrowed it down to 540 mammalian species.
Some of its predictions have been previously documented as transmission risks, for instance, dogs, cats and bats, while farm animals like pigs and exotic zoo animals were surprise additions.
Other expected additions are minks, Sunda pangolins, and 35 species of bats – which are together ranked among the top 10% of animals most likely to spread the virus, in line with lab results.
The study, published in the Proceedings of the Royal Society journal, also ranked water buffalo, a number of primates, including gorillas and 76 rodent species as being more susceptible to infection.
The researchers taught the AI to identify patterns between rates of transmission and some 60 ecological and biological traits collected by earlier studies, including the overlap between the animal and human habitats as well as their respective lifespans, diets, and sizes.
Previously, the specific amino acid sequences had only been mapped out in around 300 species, including about 143 mammals — and figuring out which ones are more prone to infection is key to predicting the spread of the virus, researchers said.
Arinjay Banerjee at the University of Saskatchewan in Canada told the New Scientist that the results will help researchers “track viral infections and the possible emergence of animal-adapted coronavirus variants” around the world. Barbara Han, who led the study, said predictions needed to be followed up with systematic surveillance and lab studies.
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When you think the internet can’t get any more niche, it finds a way to get even more specific. We’re, of course, talking about an Instagram account @BagDogs that is solely dedicated to sharing people’s photos of dogs chilling in bags as they are being transported from point A to point B. Scroll down to see some of their best photos!
AstraZeneca has announced that its preventative antibody cocktail offers 83% protection against symptomatic Covid-19 for at least six months, making it more effective than its own vaccine.
In a statement on Thursday, AstraZeneca cemented its lead in the race to develop and market a preventative Covid-19 drug, which is delivered as a shot in the arm.
The drug, named AZD7442, reduces the risk of symptomatic Covid-19 by 83% over the course of six months, according to data from a trial in which participants were given one 300mg dose. There were no deaths or severe infections recorded within the trial group, it said.
A separate trial showed the drug reduced the risk of severe Covid-19 or death by 88% when administered within three days of the onset of symptoms.
“These new data add to the growing body of evidence supporting AZD7442’s potential … We are progressing regulatory filings around the world and look forward to providing an important new option against SARS-CoV-2 [Covid-19] as quickly as possible,” AstraZeneca Executive Vice President Mene Pangalos said in the statement.
The Anglo-Swedish firm has agreed to supply the US government with 700,000 doses of AZD7442 if the Food and Drug Administration grants it emergency use, which AstraZeneca requested on October 5. The firm has similar agreements with other nations.
The drug is created using a combination of two antibodies originating from immune B-cells donated by a recovering Covid-19 patient.
The treatment could be used in people who are known not to respond well to vaccines, such as cancer patients. Around 2% of people are considered to be at risk of not creating enough antibodies following the administration of a Covid-19 vaccine.
Based on the numbers, the drug appears to be more effective than the firm’s first-generation Covid-19 vaccine. Britain’s Zoe Covid study showed the effectiveness of the vaccine dropped to around 67% after four to five months.
The EU Commission has released draft legislation aimed at tackling the destruction of woodland by introducing import restrictions on products not certified as ‘deforestation-free’.
The draft proposal, which the commission hopes will become binding rules for all member states, seeks to limit the import of beef, cocoa, coffee, palm, soy, and wood if it is not proven “deforestation-free.”
Outlining the legislation, the EU commissioner for climate action policy, Virginijus Sinkevicius, called it a “ground-breaking” proposal that will help fight “illegal deforestation” and “deforestation driven by agricultural expansion.”
Our proposal to fight deforestation will help us protect 1/3 of 🌎 lands.
We don’t only target illegal deforestation but 𝙖𝙡𝙡 deforestation driven by agricultural expansion.
We start with 6 products that must be deforestation-free 👉🏼 beef, wood, palm oil, soya, coffee, cocoa. pic.twitter.com/Cs9POoydNX
The bill comes after nations at the COP26 summit agreed to work to end deforestation by 2030. It would impose two criteria on imports, requiring items to have been produced in accordance with the origin country’s laws, and not on land that has been deforested or degraded since the start of 2021.
It is not clear when the rules would come into effect; legislative proposals by the commission have to be debated and considered by both the EU Parliament and the Council of the EU before they are passed. The implementation of measures could potentially impact the EU’s trade relations with countries like Brazil, where clearing of the Amazon rainforest hit a new record in October.
During the recent COP26 climate summit, 110 world leaders – whose countries contain around 85% of the world’s woodland – committed to ending and reversing deforestation by 2030, pledging around £14 billion ($18.84 billion) of public and private funds towards the goal.
Controversial agriculture laws that saw farmers across India protesting for over a year are going to be rolled back, Prime Minister Narendra Modi has unexpectedly announced.
“I want to tell the country that we have decided to repeal the three farm laws,” Modi said in a televised address on Friday, which local media described as “stunning.”
The Indian parliament will complete the constitutional process of repealing the agricultural legislation in late November, he added.
However, the PM again defended the divisive legislation, saying that the reform of the sector, which accounts for some 15% of India’s $2.7 trillion economy, was actually aimed at supporting the country’s small farmers.
Whatever I did was for farmers. What I am doing is for the country.
“Maybe something was lacking in our efforts, which is why we couldn’t convince some farmers about the laws,” Modi acknowledged.
The laws, which were introduced last September, allowed farmers to sell their crops outside of the government-regulated wholesale markets, in which they were guaranteed a minimum price.
The government argued that it would see them earning more, but growers feared that that move would, on the contrary, cause a drop in prices and make them hostages to large corporations.
Thousands of farmers joined the protests against what they called “black laws,” and some rallies turned violent. A year later, many demonstrators remain camped along roads outside the capital New Delhi.
And the farmers aren’t planning on going home just yet, with one of their leaders saying on Twitter: “We will wait for parliament to repeal the laws.”
Modi’s concession to the protesters may have been unexpected, but it comes several months ahead of elections in India’s most populous state of Uttar Pradesh, as well as two other northern states with large rural populations.
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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.
“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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Objects, including spacecraft, could pierce through the universe using several black holes as a ‘shortcut’, a new study suggests.
The new theory posited by French physicist Pascal Koiran marks a break from earlier research in the field of black hole studies. Previously, it was thought that a so-called ‘wormhole’ composed of two black holes would be prone to instantly collapse, thus making it impossible for an object to successfully travel all the way from one side and out the other. However, by employing different metrics, the French scientist’s new model has arrived at a very different conclusion: “We show that the particle reaches the wormhole throat for a finite value t′1 of the time marker t′.” In essence, that means an object, for instance, a spacecraft, could pass through this wormhole portal intact and reach some far-away region of the universe, taking far less time than would be needed if traveling conventionally.
The study in its entirety will see the light of day in the upcoming issue of the Journal of Modern Physics D, though an abstract has been available since early October.
Yet, there are too many ifs as to whether this purely theoretical model has any bearing on the way the universe actually works. For starters, to create such a time-and-space tunnel you would need a regular black hole and a so-called white hole, which is essentially a black hole in reverse. While black holes never let anything out, their ‘twins’ never let anything in. So, according to Albert Einstein’s theory of general relativity and Nathan Rosen’s additions to it, if you were to connect the two, they would make up a bridge across time and space. However, if the laws postulated by another branch of physics, thermodynamics, are anything to go by, such a construct would be highly unstable. Perhaps more importantly, the very existence of white holes has yet to be proven beyond a reasonable doubt. At present, they remain a pure theorization, thus putting any talk of space-and-time portals on rather shaky ground.
Some voters in Germany’s capital, Berlin, may have to re-cast their ballots after the country’s federal election czar filed an official complaint over irregularities in a parliamentary vote held two months ago.
The election – which saw Berliners decide the makeup of the German parliament, the Bundestag, as well as select city representatives – was marred by irregularities at numerous polling stations, according to the official, Georg Thiel.
Among the most common problems were ballot shortages and long lines, with waiting times of up to two hours. In some cases, voters were also seen casting their ballots past a 6pm cutoff – the time when all polling stations were supposed to have closed. Thiel, who was tasked with overseeing elections at federal level, saw all of the above as reason enough to raise an objection in the German capital, local media reported on Friday.
Thiel identified six Berlin constituencies where irregularities were allegedly rampant, potentially setting the stage for a re-do election in the city.
It is now up to a special Bundestag committee to examine Thiel’s complaint and see if the reported violations ran afoul of German law or electoral procedures. For the vote to be repeated, however, at least one of those violations would have to be deemed serious enough to have affected the distribution of seats in the Bundestag.
The September 26 election saw outgoing Chancellor Angela Merkel’s conservatives take a historic beating, with the Social Democrats coming out on top. The Social Democratic Party (SPD) has been engaged in coalition talks with the Greens and the Free Democratic Party ever since, with the trio expected to announce a preliminary deal as early as next week.
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