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Robots capable of the sophisticated motions that define advanced physical actions like walking, jumping, and navigating terrain can cost $50,000 or more, making real-world experimentation prohibitively expensive for many.

Now, a collaborative team at the NYU Tandon School of Engineering and the Max Planck Institute for Intelligent Systems (MPI-IS) in Tübingen and Stuttgart, Germany, has designed a relatively low-cost, easy-and-fast-to-assemble quadruped robot called “Solo 8” that can be upgraded and modified, opening the door to sophisticated research and development to teams on limited budgets, including those at startups, smaller labs, or teaching institutions.

The researchers’ work, “An Open Torque-Controlled Modular Robot Architecture for Legged Locomotion Research,” accepted for publication in Robotics and Automation Letters, will be presented later this month at ICRA, the International Conference on Robotics and Automation, one of the world’s leading robotic conferences, to be held virtually.

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A research team from Empa and EPFL has developed a molecular motor which consists of only 16 atoms and rotates reliably in one direction. It could allow energy harvesting at the atomic level. The special feature of the motor is that it moves exactly at the boundary between classical motion and quantum tunneling — and has revealed puzzling phenomena to researchers in the quantum realm.

The smallest motor in the world—consisting of just 16 atoms: this was developed by a team of researchers from Empa and EPFL. “This brings us close to the ultimate size limit for molecular motors,” explains Oliver Gröning, head of the Functional Surfaces Research Group at Empa. The motor measures less than one nanometer—in other words it is around 100,000 times smaller than the diameter of a human hair.

In principle, a molecular machine functions in a similar way to its counterpart in the macro world: it converts energy into a directed movement. Such molecular motors also exist in nature—for example in the form of myosins. Myosins are that play an important role in living organisms in the contraction of muscles and the transport of other molecules between cells.

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A research team at Hadassah-University Medical Center in Jerusalem’s Ein Kerem has discovered what they believe causes coronavirus patients to become seriously ill and even die. They also say they have a way to treat the cause before it’s too late.

At least 30% of patients with coronavirus develop blood clots that block the flow of blood to their kidneys, heart and brain, as well as the lungs, according to international research.

Hadassah researchers discovered that the patients who form these fatal clots have an increased level of alpha defensin protein in their blood, explained Dr. Abd Alrauf Higavi, who directs a lab at Hadassah and has been studying blood clots for 30 years.

“Patients with mild symptoms have a low concentration of alpha defensin,” he said. “Patients with strong disease symptoms have high levels. The people who die have very high levels.”

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In the last few years, most of the data such as books, videos, pictures, medical and even the genetic information of humans are moving toward digital formats. Laptops, tablets, smartphones and wearable devices are the major source of this digital data transformation and are becoming the core part of our daily life. As a result of this transformation, we are becoming the soft target of various types of cybercrimes. Digital forensic investigation provides the way to recover lost or purposefully deleted or hidden files from a suspect’s device. However, current man power and government resources are not enough to investigate the cybercrimes. Unfortunately, existing digital investigation procedures and practices require huge interaction with humans; as a result it slows down the process with the pace digital crimes are committed. Machine learning (ML) is the branch of science that has governs from the field of AI. This advance technology uses the explicit programming to depict the human-like behaviour. Machine learning combined with automation in digital investigation process at different stages of investigation has significant potential to aid digital investigators. This chapter aims at providing the research in machine learning-based digital forensic investigation, identifies the gaps, addresses the challenges and open issues in this field.

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Robotmaker Boston Dynamics has finally put its four-legged robot Spot on general sale. After years of development, the company began leasing the machine to businesses last year, and, as of today, is now letting any US firm buy their very own Spot for $74,500.

It’s a hefty price tag, equal to the base price for a luxury Tesla Model S. But Boston Dynamics says, for that money, you’re getting the most advanced mobile robot in the world, able to go pretty much anywhere a human can (as long as there are no ladders involved).

Although Spot is certainly nimble, its workload is mostly limited right now to surveying and data collection. Trial deployments have seen Spot create 3D maps of construction sites and hunt for machine faults in offshore oil rigs. Less routine tests include helping hospitals triage COVID-19 patients and, somewhat controversially, working with a police bomb squad.

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The cosmos contains a Higgs field—similar to an electric field—generated by Higgs bosons in the vacuum. Particles interact with the field to gain energy and, through Albert Einstein’s iconic equation, E=mc2, mass. The Standard Model of particle physics, although successful at describing elementary particles and their interactions at low energies, does not include a viable and hotly debated dark-matter particle. The only possible candidates, neutrinos, do not have the right properties to explain the observed dark matter.

“One particularly interesting possibility is that these long-lived dark particles are coupled to the Higgs boson in some fashion—that the Higgs is actually a portal to the dark world. We know for sure there’s a dark world, and there’s more energy in it than there is in ours. It’s possible that the Higgs could actually decay into these long-lived particles,” said LianTao Wang, a University of Chicago physicist, in 2019, referring to the last holdout particle in physicists’ grand theory of how the universe works, discovered at the LHC in 2012, filling the last gap in the standard model of fundamental particles and forces. Since then, the standard model has stood up to every test, yielding no hints of new physics.

The dark world makes up more than 95 percent of the universe, but scientists only know it exists from its effects—” like a poltergeist you can only see when it pushes something off a shelf.” We know there’s dark matter because like the poltergeist, we can see gravity acting on it keeping galaxies from flying apart.

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Dexamethasone, a cheap and widely used steroid, has become the first drug shown to be able to save lives among Covid-19 patients in what scientists hailed as a “major breakthrough”.

Results of trials announced on Tuesday showed dexamethasone, which is used to reduce inflammation in other diseases, reduced death rates by around a third among the most severely ill Covid-19 patients admitted to hospital.

The results suggest the drug should immediately become standard care in patients with severe cases of the pandemic disease, said the researchers who led the trials.

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In 2017, Stanford University researchers presented a new device that mimics the brain’s efficient and low-energy neural learning process. It was an artificial version of a synapse — the gap across which neurotransmitters travel to communicate between neurons — made from organic materials. In 2019, the researchers assembled nine of their artificial synapses together in an array, showing that they could be simultaneously programmed to mimic the parallel operation of the brain.

Now, in a paper published June 15 in Nature Materials, they have tested the first biohybrid version of their artificial synapse and demonstrated that it can communicate with living cells. Future technologies stemming from this device could function by responding directly to chemical signals from the brain. The research was conducted in collaboration with researchers at Istituto Italiano di Tecnologia (Italian Institute of Technology – IIT) in Italy and at Eindhoven University of Technology (Netherlands).

“This paper really highlights the unique strength of the materials that we use in being able to interact with living matter,” said Alberto Salleo, professor of materials science and engineering at Stanford and co-senior author of the paper. “The cells are happy sitting on the soft polymer. But the compatibility goes deeper: These materials work with the same molecules neurons use naturally.”

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