Lifeboat Foundation

Have you ever suffered from jet lag or struggled after turning the clock forward or back an hour for daylight saving time? These are examples of you feeling the effects of what researchers call your biological clock, or circadian rhythm – the “master pacemaker” that synchronizes how your body responds to the passing of one day to the next.

This “clock” is made up of about 20,000 neurons in the hypothalamus. This area near the center of the brain coordinates your body’s unconscious functions, such as breathing and blood pressure. Humans aren’t the only lifeforms that have an internal clock system: All vertebrates – or mammals, birds, reptiles, amphibians, and fish – have biological clocks, as do plants, fungi, and bacteria. Biological clocks are why cats are most active at dawn and dusk, and why flowers bloom at certain times of the day.

Continue reading “Your Body Has an Internal Clock That Dictates When You Eat, Sleep and Might Have a Heart Attack” »

Researchers from Trinity College Dublin have developed a new, machine learning-based technique to accurately classify the state of macrophages, which are key immune cells. Classifying macrophages is important because they can modify their behaviour and act as pro-or anti-inflammatory agents in the immune response. As a result, the work has a suite of implications for research and has the potential to one day make major societal impact.

For example, this new approach could be of use to drug designers looking to create therapies targeting diseases and auto-immune conditions such as diabetes, cancer and rheumatoid arthritis – all of which are impacted by cellular metabolism and macrophage function.

Because classifying macrophages allows scientists to directly distinguish between macrophage states – based only on their metabolic response under certain conditions – this new information could be used as a diagnosis tool, or to highlight the role of a particular cell type in a disease environment.

The boundary layer between the upper and lower mantles of the Earth is known as the transition zone (TZ). It is located between 410 and 660 kilometers (between 255 and 410 miles) under the surface. The olive-green mineral olivine, commonly known as peridot, which makes up around 70% of the Earth’s upper mantle, changes its crystalline structure at the extreme pressure of up to 23,000 bar in the TZ. At a depth of around 410 kilometers (255 miles), at the upper edge of the transition zone, it changes into denser wadsleyite, and at a depth of 520 kilometers (323 miles), it transforms into even denser ringwoodite.

“These mineral transformations greatly hinder the movements of rock in the mantle,” explains Professor Frank Brenker from the Institute for Geosciences at Goethe University in Frankfurt. For example, mantle plumes – rising columns of hot rock from the deep mantle – sometimes stop directly below the transition zone. The movement of mass in the opposite direction also comes to standstill. Brenker says, “Subducting plates often have difficulty in breaking through the entire transition zone. So there is a whole graveyard of such plates in this zone underneath Europe.”

The project is aided by a $3.6 million grant from the National Science Foundation to the Living and Working With Robots program at UT Austin, under the umbrella of Good Systems, a broad research initiative at the university focused on leveraging the human benefits of AI.

MySA has reached out to UT Austin’s Cockrell School of Engineering for more information on the autonomous robots program.

This GB Live News is in partnership with VB Lab funded by Xsolla.

Video games have always been resilient, even in an increasingly volatile geopolitical climate. Long-time game players are fiercely loyal, and enthusiastic new gamers keep pouring into the market, says Chris Hewish, president of Xsolla. In the first half of 2022 alone, more than 651 deals were announced or closed, for a value of $107 billion. But in a fiercely competitive market, clouded by less economic certainy, studios and indie developers are exploring an increasing number of ways to reach the audiences.

“Game companies do need to look at how their business models can function in a macroeconomic climate, heading into a recession,” he added. “Capital is going to become tighter. If you have a business model based upon growth over profitability, it’s going to be harder to find fuel for that growth. Readjusting to focus on profitability is probably one of the biggest things game companies can do right now, if they haven’t already, to weather the storm in a macro sense. But the opportunity with players and the number of people playing and spending, that’s still looking good.”

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With the rise of Snowflake and other cloud data warehouses, enterprises finally have a simple way to mobilize their data assets at scale. They can easily connect data from different sources and start driving efficiencies while keeping upfront investments (or CapEx) on the lower side.

The benefits of the solutions are unparalleled, but cloud data services also come with the challenge of high operating expenses. Essentially, due to constantly growing datasets, companies have to deal with high compute costs and query performance latencies. Without a solution, their teams have to give about 30–40% of their time to manually develop features that could optimize the warehouse for the required performance and budget constraints.

In quantum physics, Fermi’s golden rule, also known as the golden rule of time-dependent perturbation theory, is a formula that can be used to calculate the rate at which an initial quantum state transitions into a final state, which is composed of a continuum of states (a so-called “bath”). This valuable equation has been applied to numerous physics problems, particularly those for which it is important to consider how systems respond to imposed perturbations and settle into stationary states over time.

Fermi’s golden rule specifically applies to instances in which an initial quantum state is weakly coupled to a continuum of other final states, which overlap its energy. Researchers at the Centro Brasileiro de Pesquisas Físicas, Princeton University, and Universität zu Köln have recently set out to investigate what happens when a quantum state is instead coupled to a set of discrete final states with a nonzero mean level spacing, as observed in recent many-body physics studies.

“The decay of a quantum state into some continuum of final states (i.e., a ‘bath’) is commonly associated with incoherent decay processes, as described by Fermi’s golden rule,” Tobias Micklitz, one of the researchers who carried out the study, told Phys.org. “A standard example for this is an excited atom emitting a photon into an infinite vacuum. Current date experimentations, on the other hand, routinely realize composite systems involving quantum states coupled to effectively finite size reservoirs that are composed of discrete sets of final states, rather than a continuum.”

Given the rapid pace at which technology is developing, it comes as no surprise that quantum technologies will become commonplace within decades. A big part of ushering in this new age of quantum computing requires a new understanding of both classical and quantum information and how the two can be related to each other.

Before one can send classical information across quantum channels, it needs to be encoded first. This encoding is done by means of quantum ensembles. A quantum ensemble refers to a set of quantum states, each with its own probability. To accurately receive the transmitted information, the receiver has to repeatedly ‘guess’ the state of the information being sent. This constitutes a cost function that is called ‘guesswork.’ Guesswork refers to the average number of guesses required to correctly guess the state.

The concept of guesswork has been studied at length in classical ensembles, but the subject is still new for quantum ensembles. Recently, a research team from Japan—consisting of Prof. Takeshi Koshiba of Waseda University, Michele Dall’Arno from Waseda University and Kyoto University, and Prof. Francesco Buscemi from Nagoya University—has derived analytical solutions to the guesswork problem subject to a finite set of conditions. “The guesswork problem is fundamental in many scientific areas in which machine learning techniques or artificial intelligence are used. Our results trailblaze an algorithmic aspect of the guesswork problem,” says Koshiba. Their findings are published in IEEE Transactions on Information Theory.

The Universe gravitates so that normal matter and General Relativity alone can’t explain it. Here’s why dark matter beats modified gravity.